Carnegie Mellon University is proud to present 88 papers at the 34th Conference on Neural Information Processing Systems (NeurIPS 2020), which will be held virtually this week. Our faculty and researchers are also giving invited talks at 7 workshops and are involved in organizing 14 workshops at the conference.
Here is a quick overview of the areas our researchers are working on:
We are also proud to collaborate with many other researchers in academia and industry:
Conference
Reinforcement Learning
Breaking the Sample Size Barrier in Model-Based Reinforcement Learning with a Generative Model
Gen Li (Tsinghua University) · Yuting Wei (Carnegie Mellon University) · Yuejie Chi (CMU) · Yuantao Gu (Tsinghua University) · Yuxin Chen (Princeton University)
Mon Dec 07 09:00 PM — 11:00 PM (PST) @ Poster Session 0 #82
Reinforcement Learning with General Value Function Approximation: Provably Efficient Approach via Bounded Eluder Dimension
Ruosong Wang (Carnegie Mellon University) · Russ Salakhutdinov (Carnegie Mellon University) · Lin Yang (UCLA)
Mon Dec 07 09:00 PM — 11:00 PM (PST) @ Poster Session 0 #167
Provably Efficient Exploration for Reinforcement Learning Using Unsupervised Learning
Fei Feng (University of California, Los Angeles) · Ruosong Wang (Carnegie Mellon University) · Wotao Yin (Alibaba US, DAMO Academy) · Simon Du (Institute for Advanced Study) · Lin Yang (UCLA)
Mon Dec 07 09:00 PM — 11:00 PM (PST) @ Poster Session 0 #169
Object Goal Navigation using Goal-Oriented Semantic Exploration [code] [video]Devendra Singh Chaplot (Carnegie Mellon University) · Dhiraj Prakashchand Gandhi (Carnegie Mellon University) · Abhinav Gupta (Facebook AI Research/CMU) · Russ Salakhutdinov (Carnegie Mellon University)
Tue Dec 08 09:00 AM — 11:00 AM (PST) @ Poster Session 1 #358
Sparse Graphical Memory for Robust Planning [code]Scott Emmons (UC Berkeley) · Ajay Jain (UC Berkeley) · Misha Laskin (UC Berkeley) · Thanard Kurutach (University of California Berkeley) · Pieter Abbeel (UC Berkeley & covariant.ai) · Deepak Pathak (Carnegie Mellon University)
Tue Dec 08 09:00 AM — 11:00 AM (PST) @ Poster Session 1 #419
Task-Agnostic Online Reinforcement Learning with an Infinite Mixture of Gaussian Processes
Mengdi Xu (Carnegie Mellon University) · Wenhao Ding (Carnegie Mellon University) · Jiacheng Zhu (Carnegie Mellon University) · ZUXIN LIU (Carnegie Mellon University) · Baiming Chen (Tsinghua University) · Ding Zhao (Carnegie Mellon University)
Tue Dec 08 09:00 AM — 11:00 AM (PST) @ Poster Session 1 #420
On Reward-Free Reinforcement Learning with Linear Function Approximation
Ruosong Wang (Carnegie Mellon University) · Simon Du (Institute for Advanced Study) · Lin Yang (UCLA) · Russ Salakhutdinov (Carnegie Mellon University)
Tue Dec 08 09:00 AM — 11:00 AM (PST) @ Poster Session 1 #499
Rewriting History with Inverse RL: Hindsight Inference for Policy Improvement [code]Ben Eysenbach (Carnegie Mellon University) · Xinyang Geng (UC Berkeley) · Sergey Levine (UC Berkeley) · Russ Salakhutdinov (Carnegie Mellon University)
Tue Dec 08 09:00 PM — 11:00 PM (PST) @ Poster Session 2 #594
Planning with General Objective Functions: Going Beyond Total Rewards
Ruosong Wang (Carnegie Mellon University) · Peilin Zhong (Columbia University) · Simon Du (Institute for Advanced Study) · Russ Salakhutdinov (Carnegie Mellon University) · Lin Yang (UCLA)
Tue Dec 08 09:00 PM — 11:00 PM (PST) @ Poster Session 2 #600
Preference-based Reinforcement Learning with Finite-Time Guarantees
Yichong Xu (Carnegie Mellon University) · Ruosong Wang (Carnegie Mellon University) · Lin Yang (UCLA) · Aarti Singh (CMU) · Artur Dubrawski (Carnegie Mellon University)
Tue Dec 08 09:00 PM — 11:00 PM (PST) @ Poster Session 2 #601
Is Long Horizon RL More Difficult Than Short Horizon RL?
Ruosong Wang (Carnegie Mellon University) · Simon Du (Institute for Advanced Study) · Lin Yang (UCLA) · Sham Kakade (University of Washington & Microsoft Research)
Tue Dec 08 09:00 PM — 11:00 PM (PST) @ Poster Session 2 #602
Neural Dynamic Policies for End-to-End Sensorimotor Learning
Shikhar Bahl (Carnegie Mellon University) · Mustafa Mukadam (Facebook AI Research) · Abhinav Gupta (Facebook AI Research/CMU) · Deepak Pathak (Carnegie Mellon University)
Thu Dec 10 09:00 AM — 11:00 AM (PST) @ Poster Session 5 #1371
Weakly-Supervised Reinforcement Learning for Controllable Behavior
Lisa Lee (CMU / Google Brain / Stanford) · Ben Eysenbach (Carnegie Mellon University) · Russ Salakhutdinov (Carnegie Mellon University) · Shixiang (Shane) Gu (Google Brain) · Chelsea Finn (Stanford)
Thu Dec 10 09:00 PM — 11:00 PM (PST) @ Poster Session 6 #1832
Estimation & Inference
Robust Density Estimation under Besov IPM Losses
Ananya Uppal (Carnegie Mellon University) · Shashank Singh (Google) · Barnabas Poczos (Carnegie Mellon University)
Tue Dec 08 09:00 AM — 11:00 AM (PST) @ Poster Session 1 #429
Rewriting History with Inverse RL: Hindsight Inference for Policy Improvement [code]Ben Eysenbach (Carnegie Mellon University) · Xinyang Geng (UC Berkeley) · Sergey Levine (UC Berkeley) · Russ Salakhutdinov (Carnegie Mellon University)
Tue Dec 08 09:00 PM — 11:00 PM (PST) @ Poster Session 2 #594
Domain Adaptation as a Problem of Inference on Graphical Models
Kun Zhang (CMU) · Mingming Gong (University of Melbourne) · Petar Stojanov (Carnegie Mellon Univerisity) · Biwei Huang (Carnegie Mellon University) · Qingsong Liu (Unisound Intelligence Co., Ltd.) · Clark Glymour (Carnegie Mellon University)
Tue Dec 08 09:00 PM — 11:00 PM (PST) @ Poster Session 2 #698
Efficient semidefinite-programming-based inference for binary and multi-class MRFs [code]Chirag Pabbaraju (Carnegie Mellon University) · Po-Wei Wang (CMU) · J. Zico Kolter (Carnegie Mellon University / Bosch Center for AI)
Wed Dec 09 09:00 AM — 11:00 AM (PST) @ Poster Session 3 #851
Randomized tests for high-dimensional regression: A more efficient and powerful solution
Yue Li (Carnegie Mellon University) · Ilmun Kim (CMU) · Yuting Wei (Carnegie Mellon University)
Wed Dec 09 09:00 AM — 11:00 AM (PST) @ Poster Session 3 #999
Distribution-free binary classification: prediction sets, confidence intervals and calibration
Chirag Gupta (Carnegie Mellon University) · Aleksandr Podkopaev (Carnegie Mellon University) · Aaditya Ramdas (CMU)
Thu Dec 10 09:00 AM — 11:00 AM (PST) @ Poster Session 5 #1537
Deep Learning
Neural Methods for Point-wise Dependency Estimation [code]Yao-Hung Hubert Tsai (Carnegie Mellon University) · Han Zhao (Carnegie Mellon University) · Makoto Yamada (Kyoto University/RIKEN AIP) · Louis-Philippe Morency (Carnegie Mellon University) · Russ Salakhutdinov (Carnegie Mellon University)
Mon Dec 07 09:00 PM — 11:00 PM (PST) @ Poster Session 0 #15
Funnel-Transformer: Filtering out Sequential Redundancy for Efficient Language Processing [code]Zihang Dai (Carnegie Mellon University) · Guokun Lai (Carnegie Mellon University) · Yiming Yang (CMU) · Quoc V Le (Google)
Mon Dec 07 09:00 PM — 11:00 PM (PST) @ Poster Session 0 #64
Big Bird: Transformers for Longer Sequences [unofficial video]Manzil Zaheer (Google) · Guru Guruganesh (Google Research) · Kumar Avinava Dubey (Carnegie Mellon University) · Joshua Ainslie (Google) · Chris Alberti (Google) · Santiago Ontanon (Google LLC) · Philip Pham (Google) · Anirudh Ravula (Google) · Qifan Wang (Google Research) · Li Yang (Google) · Amr Ahmed (Google Research)
Mon Dec 07 09:00 PM — 11:00 PM (PST) @ Poster Session 0 #65
Deep Transformers with Latent Depth [code]Xian Li (Facebook) · Asa Cooper Stickland (University of Edinburgh) · Yuqing Tang (Facebook AI) · Xiang Kong (Carnegie Mellon University)
Tue Dec 08 09:00 AM — 11:00 AM (PST) @ Poster Session 1 #287
Multiscale Deep Equilibrium Models [code]Shaojie Bai (Carnegie Mellon University) · Vladlen Koltun (Intel Labs) · J. Zico Kolter (Carnegie Mellon University / Bosch Center for AI)
Tue Dec 08 09:00 AM — 11:00 AM (PST) @ Poster Session 1 #320
Monotone operator equilibrium networks [code]Ezra Winston (Carnegie Mellon University) · J. Zico Kolter (Carnegie Mellon University / Bosch Center for AI)
Tue Dec 08 09:00 AM — 11:00 AM (PST) @ Poster Session 1 #323
Beyond Homophily in Graph Neural Networks: Current Limitations and Effective Designs [code]Jiong Zhu (University of Michigan) · Yujun Yan (University of Michigan) · Lingxiao Zhao (Carnegie Mellon University) · Mark Heimann (University of Michigan) · Leman Akoglu (CMU) · Danai Koutra (U Michigan)
Tue Dec 08 09:00 AM — 11:00 AM (PST) @ Poster Session 1 #374
On Completeness-aware Concept-Based Explanations in Deep Neural Networks
Chih-Kuan Yeh (Carnegie Mellon University) · Been Kim (Google) · Sercan Arik (Google) · Chun-Liang Li (Google) · Tomas Pfister (Google) · Pradeep Ravikumar (Carnegie Mellon University)
Tue Dec 08 09:00 PM — 11:00 PM (PST) @ Poster Session 2 #640
A Causal View on Robustness of Neural Networks
Cheng Zhang (Microsoft Research, Cambridge, UK) · Kun Zhang (CMU) · Yingzhen Li (Microsoft Research Cambridge)
Wed Dec 09 09:00 AM — 11:00 AM (PST) @ Poster Session 3 #805
Improving GAN Training with Probability Ratio Clipping and Sample Reweighting
Yue Wu (Carnegie Mellon University) · Pan Zhou (National University of Singapore) · Andrew Wilson (New York University) · Eric Xing (Petuum Inc. / Carnegie Mellon University) · Zhiting Hu (Carnegie Mellon University)
Wed Dec 09 09:00 AM — 11:00 AM (PST) @ Poster Session 3 #945
AutoSync: Learning to Synchronize for Data-Parallel Distributed Deep Learning
Hao Zhang (Carnegie Mellon University, Petuum Inc.) · Yuan Li (Duke University) · Zhijie Deng (Tsinghua University) · Xiaodan Liang (Sun Yat-sen University) · Lawrence Carin (Duke University) · Eric Xing (Petuum Inc. / Carnegie Mellon University)
Wed Dec 09 09:00 AM — 11:00 AM (PST) @ Poster Session 3 #1037
Deep Archimedean Copulas
Chun Kai Ling (Carnegie Mellon University) · Fei Fang (Carnegie Mellon University) · J. Zico Kolter (Carnegie Mellon University / Bosch Center for AI)
Thu Dec 10 09:00 PM — 11:00 PM (PST) @ Poster Session 6 #1754
A Study on Encodings for Neural Architecture Search [code]Colin White (Abacus.AI) · Willie Neiswanger (Carnegie Mellon University) · Sam Nolen (RealityEngines.AI) · Yash Savani (RealityEngines.AI)
Thu Dec 10 09:00 PM — 11:00 PM (PST) @ Poster Session 6 #1777
Is normalization indispensable for training deep neural network?
Jie Shao (Fudan University) · Kai Hu (Carnegie Mellon University) · Changhu Wang (ByteDance.Inc) · Xiangyang Xue (Fudan University) · Bhiksha Raj (Carnegie Mellon University)
Thu Dec 10 09:00 PM — 11:00 PM (PST) @ Poster Session 6 #1887
Algorithms & Optimization
Latent Dynamic Factor Analysis of High-Dimensional Neural Recordings [code]Heejong Bong (Carnegie Mellon University) · Zongge Liu (Carnegie Mellon University) · Zhao Ren (University of Pittsburgh) · Matthew Smith (Carnegie Mellon University) · Valerie Ventura (Carnegie Mellon University) · Kass E Robert (CMU)
Mon Dec 07 09:00 PM — 11:00 PM (PST) @ Poster Session 0 #32
Neutralizing Self-Selection Bias in Sampling for Sortition
Bailey Flanigan (Carnegie Mellon University) · Paul Goelz (Carnegie Mellon University) · Anupam Gupta (Carnegie Mellon University) · Ariel Procaccia (Harvard University)
Tue Dec 08 09:00 PM — 11:00 PM (PST) @ Poster Session 2 #710
Efficient semidefinite-programming-based inference for binary and multi-class MRFs [code]Chirag Pabbaraju (Carnegie Mellon University) · Po-Wei Wang (CMU) · J. Zico Kolter (Carnegie Mellon University / Bosch Center for AI)
Wed Dec 09 09:00 AM — 11:00 AM (PST) @ Poster Session 3 #851
Linear Dynamical Systems as a Core Computational Primitive
Shiva Kaul (Carnegie Mellon University)
Wed Dec 09 09:00 AM — 11:00 AM (PST) @ Poster Session 3 #1083
Distributed Training with Heterogeneous Data: Bridging Median- and Mean-Based Algorithms
Xiangyi Chen (University of Minnesota) · Tiancong Chen (University of Minnesota) · Haoran Sun (University of Minnesota) · Steven Wu (Carnegie Mellon University) · Mingyi Hong (University of Minnesota)
Wed Dec 09 09:00 AM — 11:00 AM (PST) @ Poster Session 3 #1144
WOR and p’s: Sketches for lp-Sampling Without Replacement
Edith Cohen (Google) · Rasmus Pagh (University of Copenhagen) · David Woodruff (Carnegie Mellon University)
Thu Dec 10 09:00 AM — 11:00 AM (PST) @ Poster Session 5 #1435
Confidence sequences for sampling without replacement
Ian Waudby-Smith (Carnegie Mellon University) · Aaditya Ramdas (CMU)
Thu Dec 10 09:00 AM — 11:00 AM (PST) @ Poster Session 5 #1445
PLLay: Efficient Topological Layer based on Persistent Landscapes
Kwangho Kim (Carnegie Mellon University) · Jisu Kim (Inria Saclay) · Manzil Zaheer (Google) · Joon Kim (Carnegie Mellon University) · Frederic Chazal (INRIA) · Larry Wasserman (Carnegie Mellon University)
Thu Dec 10 09:00 AM — 11:00 AM (PST) @ Poster Session 5 #1582
Tackling the Objective Inconsistency Problem in Heterogeneous Federated Optimization
Jianyu Wang (Carnegie Mellon University) · Qinghua Liu (Princeton University) · Hao Liang (Carnegie Mellon University) · Gauri Joshi (Carnegie Mellon University) · H. Vincent Poor (Princeton University)
Thu Dec 10 09:00 AM — 11:00 AM (PST) @ Poster Session 5 #1636
Transferable Graph Optimizers for ML Compilers
Yanqi Zhou (Google Brain) · Sudip Roy (Google) · Amirali Abdolrashidi (UC Riverside) · Daniel Wong (Carnegie Mellon University) · Peter Ma (Google) · Qiumin Xu (Google) · Hanxiao Liu (Google Brain) · Phitchaya Phothilimtha (Google Brain) · Shen Wang (Google Inc) · Anna Goldie (Google Brain / Stanford) · Azalia Mirhoseini (Google Brain) · James Laudon (Google)
Thu Dec 10 09:00 PM — 11:00 PM (PST) @ Poster Session 6 #1781
Community detection using fast low-cardinality semidefinite programming
Po-Wei Wang (CMU) · J. Zico Kolter (Carnegie Mellon University / Bosch Center for AI)
Thu Dec 10 09:00 PM — 11:00 PM (PST) @ Poster Session 6 #1803
Learning Theory
Sample Complexity of Asynchronous Q-Learning: Sharper Analysis and Variance Reduction
Gen Li (Tsinghua University) · Yuting Wei (Carnegie Mellon University) · Yuejie Chi (CMU) · Yuantao Gu (Tsinghua University) · Yuxin Chen (Princeton University)
Mon Dec 07 09:00 PM — 11:00 PM (PST) @ Poster Session 0 #160
Reinforcement Learning with General Value Function Approximation: Provably Efficient Approach via Bounded Eluder Dimension
Ruosong Wang (Carnegie Mellon University) · Russ Salakhutdinov (Carnegie Mellon University) · Lin Yang (UCLA)
Mon Dec 07 09:00 PM — 11:00 PM (PST) @ Poster Session 0 #167
Provably Efficient Exploration for Reinforcement Learning Using Unsupervised Learning
Fei Feng (University of California, Los Angeles) · Ruosong Wang (Carnegie Mellon University) · Wotao Yin (Alibaba US, DAMO Academy) · Simon Du (Institute for Advanced Study) · Lin Yang (UCLA)
Mon Dec 07 09:00 PM — 11:00 PM (PST) @ Poster Session 0 #169
Agnostic Q-learning with Function Approximation in Deterministic Systems: Near-Optimal Bounds on Approximation Error and Sample Complexity
Simon Du (Institute for Advanced Study) · Jason Lee (Princeton University) · Gaurav Mahajan (University of California, San Diego) · Ruosong Wang (Carnegie Mellon University)
Tue Dec 08 09:00 AM — 11:00 AM (PST) @ Poster Session 1 #226
Generalized Boosting
Arun Suggala (Carnegie Mellon University) · Bingbin Liu (Carnegie Mellon University) · Pradeep Ravikumar (Carnegie Mellon University)
Tue Dec 08 09:00 AM — 11:00 AM (PST) @ Poster Session 1 #364
PAC-Bayes Learning Bounds for Sample-Dependent Priors
Pranjal Awasthi (Google/Rutgers University) · Satyen Kale (Google) · Stefani Karp (Google/CMU) · Mehryar Mohri (Google Research & Courant Institute of Mathematical Sciences)
Tue Dec 08 09:00 AM — 11:00 AM (PST) @ Poster Session 1 #436
Revisiting the Sample Complexity of Sparse Spectrum Approximation of Gaussian Processes
Minh Hoang (Carnegie Mellon University) · Nghia Hoang (Amazon) · Hai Pham (Carnegie Mellon University) · David Woodruff (Carnegie Mellon University)
Tue Dec 08 09:00 PM — 11:00 PM (PST) @ Poster Session 2 #666
Follow the Perturbed Leader: Optimism and Fast Parallel Algorithms for Smooth Minimax Games
Arun Suggala (Carnegie Mellon University) · Praneeth Netrapalli (Microsoft Research)
Wed Dec 09 09:00 AM — 11:00 AM (PST) @ Poster Session 3 #1021
On Learning Ising Models under Huber’s Contamination Model
Adarsh Prasad (Carnegie Mellon University) · Vishwak Srinivasan (Carnegie Mellon University) · Sivaraman Balakrishnan (Carnegie Mellon University) · Pradeep Ravikumar (Carnegie Mellon University)
Wed Dec 09 09:00 PM — 11:00 PM (PST) @ Poster Session 4 #1186
Axioms for Learning from Pairwise Comparisons
Ritesh Noothigattu (Carnegie Mellon University) · Dominik Peters (Carnegie Mellon University) · Ariel Procaccia (Harvard University)
Thu Dec 10 09:00 AM — 11:00 AM (PST) @ Poster Session 5 #1447
A Unified View of Label Shift Estimation
Saurabh Garg (CMU) · Yifan Wu (Carnegie Mellon University) · Sivaraman Balakrishnan (CMU) · Zachary Lipton (Carnegie Mellon University)
Thu Dec 10 09:00 AM — 11:00 AM (PST) @ Poster Session 5 #1535
Weak Supervision
Unsupervised Data Augmentation for Consistency Training [code]Qizhe Xie (CMU, Google Brain) · Zihang Dai (Carnegie Mellon University) · Eduard Hovy (CMU) · Thang Luong (Google Brain) · Quoc V Le (Google)
Mon Dec 07 09:00 PM — 11:00 PM (PST) @ Poster Session 0 #21
Provably Efficient Exploration for Reinforcement Learning Using Unsupervised Learning
Fei Feng (University of California, Los Angeles) · Ruosong Wang (Carnegie Mellon University) · Wotao Yin (Alibaba US, DAMO Academy) · Simon Du (Institute for Advanced Study) · Lin Yang (UCLA)
Mon Dec 07 09:00 PM — 11:00 PM (PST) @ Poster Session 0 #169
Model-based Policy Optimization with Unsupervised Model Adaptation
Jian Shen (Shanghai Jiao Tong University) · Han Zhao (Carnegie Mellon University) · Weinan Zhang (Shanghai Jiao Tong University) · Yong Yu (Shanghai Jiao Tong Unviersity)
Tue Dec 08 09:00 AM — 11:00 AM (PST) @ Poster Session 1 #547
Modeling Task Effects on Meaning Representation in the Brain via Zero-Shot MEG Prediction
Mariya Toneva (Carnegie Mellon University) · Otilia Stretcu (Carnegie Mellon University) · Barnabas Poczos (Carnegie Mellon University) · Leila Wehbe (Carnegie Mellon University) · Tom Mitchell (Carnegie Mellon University)
Thu Dec 10 09:00 AM — 11:00 AM (PST) @ Poster Session 5 #1687
Demystifying Contrastive Self-Supervised Learning: Invariances, Augmentations and Dataset Biases
Senthil Purushwalkam Shiva Prakash (Carnegie Mellon University) · Abhinav Gupta (Facebook AI Research/CMU)
Thu Dec 10 09:00 AM — 11:00 AM (PST) @ Poster Session 5 #1696
Comprehensive Attention Self-Distillation for Weakly-Supervised Object Detection
Zeyi Huang (carnegie mellon university) · Yang Zou (Carnegie Mellon University) · B. V. K. Vijaya Kumar (CMU, USA) · Dong Huang (Carnegie Mellon University)
Thu Dec 10 09:00 AM — 11:00 AM (PST) @ Poster Session 5 #1704
Weakly-Supervised Reinforcement Learning for Controllable Behavior
Lisa Lee (CMU / Google Brain / Stanford) · Ben Eysenbach (Carnegie Mellon University) · Russ Salakhutdinov (Carnegie Mellon University) · Shixiang (Shane) Gu (Google Brain) · Chelsea Finn (Stanford)
Thu Dec 10 09:00 PM — 11:00 PM (PST) @ Poster Session 6 #1832
Computational Linguistics
Funnel-Transformer: Filtering out Sequential Redundancy for Efficient Language Processing [code]Zihang Dai (Carnegie Mellon University) · Guokun Lai (Carnegie Mellon University) · Yiming Yang (CMU) · Quoc V Le (Google)
Mon Dec 07 09:00 PM — 11:00 PM (PST) @ Poster Session 0 #64
Big Bird: Transformers for Longer Sequences [unofficial video]Manzil Zaheer (Google) · Guru Guruganesh (Google Research) · Kumar Avinava Dubey (Carnegie Mellon University) · Joshua Ainslie (Google) · Chris Alberti (Google) · Santiago Ontanon (Google LLC) · Philip Pham (Google) · Anirudh Ravula (Google) · Qifan Wang (Google Research) · Li Yang (Google) · Amr Ahmed (Google Research)
Mon Dec 07 09:00 PM — 11:00 PM (PST) @ Poster Session 0 #65
Learning Sparse Prototypes for Text Generation
Junxian He (Carnegie Mellon University) · Taylor Berg-Kirkpatrick (University of California San Diego) · Graham Neubig (Carnegie Mellon University)
Tue Dec 08 09:00 AM — 11:00 AM (PST) @ Poster Session 1 #184
Deep Transformers with Latent Depth [code]Xian Li (Facebook) · Asa Cooper Stickland (University of Edinburgh) · Yuqing Tang (Facebook AI) · Xiang Kong (Carnegie Mellon University)
Tue Dec 08 09:00 AM — 11:00 AM (PST) @ Poster Session 1 #287
Computer Vision
Swapping Autoencoder for Deep Image Manipulation [website] [unofficial code] [video]Taesung Park (UC Berkeley) · Jun-Yan Zhu (Adobe, CMU) · Oliver Wang (Adobe Research) · Jingwan Lu (Adobe Research) · Eli Shechtman (Adobe Research, US) · Alexei Efros (UC Berkeley) · Richard Zhang (Adobe)
Mon Dec 07 09:00 PM — 11:00 PM (PST) @ Poster Session 0 #105
Residual Force Control for Agile Human Behavior Imitation and Extended Motion Synthesis [website] [code] [video]Ye Yuan (Carnegie Mellon University) · Kris Kitani (Carnegie Mellon University)
Tue Dec 08 09:00 AM — 11:00 AM (PST) @ Poster Session 1 #354
See, Hear, Explore: Curiosity via Audio-Visual Association [code] [video]Victoria Dean (Carnegie Mellon University) · Shubham Tulsiani (Facebook AI Research) · Abhinav Gupta (Facebook AI Research/CMU)
Tue Dec 08 09:00 AM — 11:00 AM (PST) @ Poster Session 1 #355
SDF-SRN: Learning Signed Distance 3D Object Reconstruction from Static Images [code]Chen-Hsuan Lin (Carnegie Mellon University) · Chaoyang Wang (Carnegie Mellon University) · Simon Lucey (CMU)
Tue Dec 08 09:00 AM — 11:00 AM (PST) @ Poster Session 1 #480
Measuring Robustness to Natural Distribution Shifts in Image Classification [code]Rohan Taori (Stanford University) · Achal Dave (Carnegie Mellon University) · Vaishaal Shankar (UC Berkeley) · Nicholas Carlini (Google) · Benjamin Recht (UC Berkeley) · Ludwig Schmidt (UC Berkeley)
Tue Dec 08 09:00 PM — 11:00 PM (PST) @ Poster Session 2 #679
Pixel-Level Cycle Association: A New Perspective for Domain Adaptive Semantic Segmentation [code]Guoliang Kang (Carnegie Mellon University) · Yunchao Wei (UTS) · Yi Yang (UTS) · Yueting Zhuang (Zhejiang University) · Alexander Hauptmann (Carnegie Mellon University)
Tue Dec 08 09:00 PM — 11:00 PM (PST) @ Poster Session 2 #693
Group Contextual Encoding for 3D Point Clouds [code]Xu Liu (The University of Tokyo) · Chengtao Li (MIT) · Jian Wang (Carnegie Mellon University) · Jingbo Wang (Peking University) · Boxin Shi (Peking University) · Xiaodong He (JD AI research)
Wed Dec 09 09:00 PM — 11:00 PM (PST) @ Poster Session 4 #1151
Comprehensive Attention Self-Distillation for Weakly-Supervised Object Detection
Zeyi Huang (carnegie mellon university) · Yang Zou (Carnegie Mellon University) · B. V. K. Vijaya Kumar (CMU, USA) · Dong Huang (Carnegie Mellon University)
Thu Dec 10 09:00 AM — 11:00 AM (PST) @ Poster Session 5 #1704
Graphical Models
Domain Adaptation as a Problem of Inference on Graphical Models
Kun Zhang (CMU) · Mingming Gong (University of Melbourne) · Petar Stojanov (Carnegie Mellon Univerisity) · Biwei Huang (Carnegie Mellon University) · Qingsong Liu (Unisound Intelligence Co., Ltd.) · Clark Glymour (Carnegie Mellon University)
Tue Dec 08 09:00 PM — 11:00 PM (PST) @ Poster Session 2 #698
Generalized Independent Noise Condition for Estimating Latent Variable Causal Graphs
Feng Xie (Peking University) · Ruichu Cai (Guangdong University of Technology) · Biwei Huang (Carnegie Mellon University) · Clark Glymour (Carnegie Mellon University) · Zhifeng Hao (Guangdong University of Technology) · Kun Zhang (CMU)
Wed Dec 09 09:00 AM — 11:00 AM (PST) @ Poster Session 3 #887
On the Role of Sparsity and DAG Constraints for Learning Linear DAGs
Ignavier Ng (University of Toronto) · AmirEmad Ghassami (Johns Hopkins University) · Kun Zhang (CMU)
Thu Dec 10 09:00 AM — 11:00 AM (PST) @ Poster Session 5 #1665
Transfer Learning
Pixel-Level Cycle Association: A New Perspective for Domain Adaptive Semantic Segmentation [code]Guoliang Kang (Carnegie Mellon University) · Yunchao Wei (UTS) · Yi Yang (UTS) · Yueting Zhuang (Zhejiang University) · Alexander Hauptmann (Carnegie Mellon University)
Tue Dec 08 09:00 PM — 11:00 PM (PST) @ Poster Session 2 #693
Domain Adaptation as a Problem of Inference on Graphical Models [code]Kun Zhang (CMU) · Mingming Gong (University of Melbourne) · Petar Stojanov (Carnegie Mellon Univerisity) · Biwei Huang (Carnegie Mellon University) · Qingsong Liu (Unisound Intelligence Co., Ltd.) · Clark Glymour (Carnegie Mellon University)
Tue Dec 08 09:00 PM — 11:00 PM (PST) @ Poster Session 2 #698
Look-ahead Meta Learning for Continual Learning [code]Gunshi Gupta (University of montreal) · Karmesh Yadav (Carnegie Mellon) · Liam Paull (Université de Montréal)
Wed Dec 09 09:00 AM — 11:00 AM (PST) @ Poster Session 3 #767
Mitigating Forgetting in Online Continual Learning via Instance-Aware Parameterization
Hung-Jen Chen (National Tsing Hua University) · An-Chieh Cheng (National Tsing Hua University) · Da-Cheng Juan (Google) · Wei Wei (CMU) · Min Sun (Appier, Inc.)
Wed Dec 09 09:00 AM — 11:00 AM (PST) @ Poster Session 3 #770
Domain Adaptation with Conditional Distribution Matching and Generalized Label Shift
Remi Tachet des Combes (Microsoft Research Montreal) · Han Zhao (Carnegie Mellon University) · Yu-Xiang Wang (UC Santa Barbara) · Geoffrey Gordon (MSR Montréal & CMU)
Wed Dec 09 09:00 AM — 11:00 AM (PST) @ Poster Session 3 #1008
Privacy & Robustness
Denoised Smoothing: A Provable Defense for Pretrained Classifiers [code]Hadi Salman (Microsoft Research AI) · Mingjie Sun (Carnegie Mellon University) · Greg Yang (Microsoft Research) · Ashish Kapoor (Microsoft) · J. Zico Kolter (Carnegie Mellon University / Bosch Center for AI)
Tue Dec 08 09:00 AM — 11:00 AM (PST) @ Poster Session 1 #302
Multi-Robot Collision Avoidance under Uncertainty with Probabilistic Safety Barrier Certificates
Wenhao Luo (Carnegie Mellon University) · Wen Sun (Cornell University) · Ashish Kapoor (Microsoft)
Tue Dec 08 09:00 AM — 11:00 AM (PST) @ Poster Session 1 #312
A Closer Look at Accuracy vs. Robustness [code]Yao-Yuan Yang (UCSD) · Cyrus Rashtchian (UCSD) · Hongyang Zhang (TTIC) · Russ Salakhutdinov (Carnegie Mellon University) · Kamalika Chaudhuri (UCSD)
Tue Dec 08 09:00 PM — 11:00 PM (PST) @ Poster Session 2 #667
Measuring Robustness to Natural Distribution Shifts in Image Classification [code]Rohan Taori (Stanford University) · Achal Dave (Carnegie Mellon University) · Vaishaal Shankar (UC Berkeley) · Nicholas Carlini (Google) · Benjamin Recht (UC Berkeley) · Ludwig Schmidt (UC Berkeley)
Tue Dec 08 09:00 PM — 11:00 PM (PST) @ Poster Session 2 #679
Smoothed Geometry for Robust Attribution
Zifan Wang (Carnegie Mellon University) · Haofan Wang (Carnegie Mellon University) · Shakul Ramkumar (Carnegie Mellon University) · Piotr Mardziel (Carnegie Mellon University) · Matt Fredrikson (CMU) · Anupam Datta (Carnegie Mellon University)
Wed Dec 09 09:00 AM — 11:00 AM (PST) @ Poster Session 3 #936
Trade-offs and Guarantees of Adversarial Representation Learning for Information Obfuscation
Han Zhao (Carnegie Mellon University) · Jianfeng Chi (University of Virginia) · Yuan Tian (University of Virginia) · Geoffrey Gordon (MSR Montréal & CMU)
Wed Dec 09 09:00 AM — 11:00 AM (PST) @ Poster Session 3 #1066
Understanding Gradient Clipping in Private SGD: A Geometric Perspective
Xiangyi Chen (University of Minnesota) · Steven Wu (Carnegie Mellon University) · Mingyi Hong (University of Minnesota)
Wed Dec 09 09:00 AM — 11:00 AM (PST) @ Poster Session 3 #1081
Fairness & Interpretability
Fair Hierarchical Clustering
Sara Ahmadian (Google Research) · Alessandro Epasto (Google) · Marina Knittel (University of Maryland, College Park) · Ravi Kumar (Google) · Mohammad Mahdian (Google Research) · Benjamin Moseley (Carnegie Mellon University) · Philip Pham (Google) · Sergei Vassilvitskii (Google) · Yuyan Wang (Carnegie Mellon University)
Wed Dec 09 09:00 AM — 11:00 AM (PST) @ Poster Session 3 #859
Metric-Free Individual Fairness in Online Learning
Yahav Bechavod (Hebrew University of Jerusalem) · Christopher Jung (University of Pennsylvania) · Steven Wu (Carnegie Mellon University)
Wed Dec 09 09:00 AM — 11:00 AM (PST) @ Poster Session 3 #861
How do fair decisions fare in long-term qualification?
Xueru Zhang (University of Michigan) · Ruibo Tu (KTH Royal Institute of Technology) · Yang Liu (UC Santa Cruz) · mingyan liu (university of Michigan, Ann Arbor) · Hedvig Kjellstrom (KTH Royal Institute of Technology) · Kun Zhang (CMU) · Cheng Zhang (Microsoft Research, Cambridge, UK)
Wed Dec 09 09:00 AM — 11:00 AM (PST) @ Poster Session 3 #869
Regularizing Black-box Models for Improved Interpretability
Gregory Plumb (Carnegie Mellon University) · Maruan Al-Shedivat (Carnegie Mellon University) · Ángel Alexander Cabrera (Carnegie Mellon University) · Adam Perer (Carnegie Mellon University) · Eric Xing (Petuum Inc. / Carnegie Mellon University) · Ameet Talwalkar (CMU)
Wed Dec 09 09:00 AM — 11:00 AM (PST) @ Poster Session 3 #1078
Explainable Voting
Dominik Peters (Carnegie Mellon University) · Ariel Procaccia (Harvard University) · Alexandros Psomas (Purdue University) · Zixin Zhou (Peking University)
Thu Dec 10 09:00 AM — 11:00 AM (PST) @ Poster Session 5 #1560
Counterfactual Predictions under Runtime Confounding
Amanda Coston (Carnegie Mellon University) · Edward Kennedy (Carnegie Mellon University) · Alexandra Chouldechova (CMU)
Thu Dec 10 09:00 AM — 11:00 AM (PST) @ Poster Session 5 #1622
Multi-agent Systems
Improving Policy-Constrained Kidney Exchange via Pre-Screening
Duncan McElfresh (University of Maryland) · Michael Curry (University of Maryland) · Tuomas Sandholm (CMU, Strategic Machine, Strategy Robot, Optimized Markets) · John Dickerson (University of Maryland)
Mon Dec 07 09:00 PM — 11:00 PM (PST) @ Poster Session 0 #126
Mitigating Manipulation in Peer Review via Randomized Reviewer Assignments
Steven Jecmen (Carnegie Mellon University) · Hanrui Zhang (Duke University) · Ryan Liu (Carnegie Mellon University) · Nihar Shah (CMU) · Vincent Conitzer (Duke University) · Fei Fang (Carnegie Mellon University)
Tue Dec 08 09:00 AM — 11:00 AM (PST) @ Poster Session 1 #267
Polynomial-Time Computation of Optimal Correlated Equilibria in Two-Player Extensive-Form Games with Public Chance Moves and Beyond
Gabriele Farina (Carnegie Mellon University) · Tuomas Sandholm (CMU, Strategic Machine, Strategy Robot, Optimized Markets)
Tue Dec 08 09:00 AM — 11:00 AM (PST) @ Poster Session 1 #341
No-Regret Learning Dynamics for Extensive-Form Correlated Equilibrium
Andrea Celli (Politecnico di Milano) · Alberto Marchesi (Politecnico di Milano) · Gabriele Farina (Carnegie Mellon University) · Nicola Gatti (Politecnico di Milano)
Tue Dec 08 09:00 AM — 11:00 AM (PST) @ Poster Session 1 #535
EvolveGraph: Multi-Agent Trajectory Prediction with Dynamic Relational Reasoning
Jiachen Li (University of California, Berkeley) · Fan Yang (Carnegie Mellon University) · Masayoshi Tomizuka (University of California, Berkeley) · Chiho Choi (Honda Research Institute US)
Wed Dec 09 09:00 PM — 11:00 PM (PST) @ Poster Session 4 #1236
Evaluating and Rewarding Teamwork Using Cooperative Game Abstractions
Tom Yan (Carnegie Mellon University) · Christian Kroer (Columbia University) · Alexander Peysakhovich (Facebook)
Wed Dec 09 09:00 PM — 11:00 PM (PST) @ Poster Session 4 #1272
Small Nash Equilibrium Certificates in Very Large Games
Brian Zhang (Carnegie Mellon University) · Tuomas Sandholm (CMU, Strategic Machine, Strategy Robot, Optimized Markets)
Thu Dec 10 09:00 AM — 11:00 AM (PST) @ Poster Session 5 #1465
Workshops
Invited Speakers
Differentiable Computer Vision, Graphics, and Physics in Machine Learning
Abhinav Gupta
Fri Dec 11 05:00 AM — 12:30 PM (PST)
Advances and Opportunities: Machine Learning for Education
Carolyn Rose, Ken Koedinger
Fri Dec 11 05:30 AM — 02:10 PM (PST)
Human in the Loop Dialogue Systems
Maxine Eskenazi, Alexander Rudnicky
Fri Dec 11 06:10 AM — 05:20 PM (PST)
Causal Discovery and Causality-Inspired Machine Learning
Clark Glymour
Fri Dec 11 06:50 AM — 04:50 PM (PST)
Self-Supervised Learning — Theory and Practice
Katerina Fragkiadaki, Abhinav Gupta, Ruslan Salakhutdinov
Sat Dec 12 08:50 AM — 06:40 PM (PST)
Algorithmic Fairness through the Lens of Causality and Interpretability
Hoda Heidari
Sat Dec 12 01:00 AM — 12:00 PM (PST)
International Workshop on Scalability, Privacy, and Security in Federated Learning (SpicyFL 2020)
Ruslan Salakhutdinov, Virginia Smith
Sat Dec 12
Organizers
Differentiable Computer Vision, Graphics, and Physics in Machine Learning
Krishna Murthy Jatavallabhula · Kelsey Allen · Victoria Dean · Johanna Hansen · Shuran Song · Florian Shkurti · Liam Paull · Derek Nowrouzezahrai · Josh Tenenbaum
Fri Dec 11 05:00 AM — 12:30 PM (PST)
Self-Supervised Learning for Speech and Audio Processing
Abdel-rahman Mohamed · Hung-yi Lee · Shinji Watanabe · Shang-Wen Li · Tara Sainath · Karen Livescu
Fri Dec 11 06:50 AM — 04:25 PM (PST)
Causal Discovery and Causality-Inspired Machine Learning
Biwei Huang · Sara Magliacane · Kun Zhang · Danielle Belgrave · Elias Bareinboim · Daniel Malinsky · Thomas Richardson · Christopher Meek · Peter Spirtes · Bernhard Schölkopf
Fri Dec 11 06:50 AM — 04:50 PM (PST)
Machine Learning and the Physical Sciences
Anima Anandkumar · Kyle Cranmer · Shirley Ho · Mr. Prabhat · Lenka Zdeborová · Atilim Gunes Baydin · Juan Carrasquilla · Adji Bousso Dieng · Karthik Kashinath · Gilles Louppe · Brian Nord · Michela Paganini · Savannah Thais
Fri Dec 11 07:00 AM — 03:15 PM (PST)
First Workshop on Quantum Tensor Networks in Machine Learning
Xiao-Yang Liu · Qibin Zhao · Jacob Biamonte · Cesar Caiafa · Paul Pu Liang · Nadav Cohen · Stefan Leichenauer
Fri Dec 11 08:00 AM — 07:00 PM (PST)
ML Retrospectives, Surveys & meta-Analyses (ML- RSA)
Chhavi Yadav · Prabhu Pradhan · Abhishek Gupta · Ryan Lowe · Peter Henderson · Jessica Forde · Mayoore Jaiswal · Jesse Dodge
Fri Dec 11 08:30 AM — 09:00 PM (PST)
BabyMind: How Babies Learn and How Machines Can Imitate
Byoung-Tak Zhang · Gary Marcus · Angelo Cangelosi · Pia Knoeferle · Klaus Obermayer · David Vernon · Chen Yu
Fri Dec 11 08:40 AM — 05:30 PM (PST)
Machine Learning for Autonomous Driving
Rowan McAllister · Xinshuo Weng · Xinshuo Weng · Daniel Omeiza · Nick Rhinehart · Fisher Yu · German Ros · Vladlen Koltun
Fri Dec 11 08:55 AM — 05:00 PM (PST)
Workshop on Dataset Curation and Security
Nathalie Baracaldo Angel · Yonatan Bisk · Avrim Blum · Michael Curry · John Dickerson · Micah Goldblum · Tom Goldstein · Bo Li · Avi Schwarzschild
Fri Dec 11
Tackling Climate Change with ML
David Dao · Evan Sherwin · Priya Donti · Yumna Yusuf · Lauren Kuntz · Lynn Kaack · David Rolnick · Catherine Nakalembe · Claire Monteleoni · Yoshua Bengio
Fri Dec 11
HAMLETS (Human And Machine in-the-Loop Evaluation and Learning Strategies)
Divyansh Kaushik · Bhargavi Paranjape · Bhargavi Paranjape · Forough Arabshahi · Yanai Elazar · Yixin Nie · Max Bartolo · Polina Kirichenko · Pontus Lars Erik Saito Stenetorp · Mohit Bansal · Zachary Lipton · Douwe Kiela
Sat Dec 12 08:15 AM — 08:00 PM (PST)
Self-Supervised Learning — Theory and Practice
Pengtao Xie · Shanghang Zhang · Pulkit Agrawal · Ishan Misra · Cynthia Rudin · Abdel-rahman Mohamed · Wenzhen Yuan · Barret Zoph · Laurens van der Maaten · Eric Xing
Sat Dec 12 08:50 AM — 06:40 PM (PST)
International Workshop on Scalability, Privacy, and Security in Federated Learning (SpicyFL 2020)
Xiaolin Andy Li · Dejing Dou · Ameet Talwalkar · Hongyu Li · Jianzong Wang · Yanzhi Wang
Sat Dec 12
Machine Learning for Engineering Modeling, Simulation and Design
Alex Beatson · Priya Donti · Amira Abdel-Rahman · Stephan Hoyer · Rose Yu · J. Zico Kolter · Ryan Adams
Sat Dec 12