hunoutl/paperlists huggingface dataset:
Title: CHIMLE: Conditional Hierarchical IMLE for Multimodal Conditional Image Synthesis
Authors: Shichong Peng, Seyed Alireza Moazenipourasil, Ke Li
Affiliations: APEX Lab, School of Computing Science, Simon Fraser University; APEX Lab, School of Computing Science, Simon Fraser University2Google
Conference: nips 2022 (main track)
Keywords: Mode-covering Generative Model;Diverse Conditional Image Synthesis;Implicit Maximum Likelihood Estimation (IMLE)
Decision: Poster
Title: An Adaptive Deep RL Method for Non-Stationary Environments with Piecewise Stable Context
Authors: Xiaoyu Chen, Xiangming Zhu, Yufeng Zheng, Pushi Zhang, Li Zhao, Wenxue Cheng, Peng CHENG, Yongqiang Xiong, Tao Qin, Jianyu Chen, Tie-Yan Liu
Affiliations: Microsoft Research Asia; University of California, Berkeley; Shanghai Jiao Tong University; Tsinghua University
Conference: nips 2022 (main track)
Decision: Poster
Title: FairVFL: A Fair Vertical Federated Learning Framework with Contrastive Adversarial Learning
Authors: Tao Qi, Fangzhao Wu, Chuhan Wu, Lingjuan Lyu, Tong Xu, Hao Liao, Zhongliang Yang, Yongfeng Huang, Xing Xie
Affiliations: Tsinghua University & Zhongguancun Laboratory, Beijing, China; Shenzhen University, Shenzhen, China; USTC, Hefei, China; Microsoft Research Asia, Beijing China; Sony AI, Tokyo, Japan; Tsinghua University, Beijing, China
Conference: nips 2022 (main track)
Keywords: Vertical Federated Learning;Fair Representation Learning;Adversarial Learning;Contrastive Learning
Decision: Poster
Title: Neural Stochastic Control
Authors: Jingdong Zhang, Qunxi Zhu, Wei LIN
Affiliations: Research Institute of Intelligent Complex Systems and MOE Frontiers Center for Brain Science, Fudan University; School of Mathematical Sciences, SCMS, SCAM, and CCSB, Fudan University; Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence, Fudan University
Conference: nips 2022 (main track)
Keywords: Stochastic control;differential equations;neural networks
Decision: Poster
Title: Explain My Surprise: Learning Efficient Long-Term Memory by predicting uncertain outcomes
Authors: Artyom Sorokin, Nazar Buzun, Leonid Pugachev, Mikhail Burtsev
Affiliations: AIRI, MIPT, Moscow, Russia; MIPT, Dolgoprudny, Russia; AIRI, Moscow, Russia
Conference: nips 2022 (main track)
Keywords: Memory;RNN;Information Theory;Reinforcement Learning;POMDP
Decision: Poster
Title: Rethinking Knowledge Graph Evaluation Under the Open-World Assumption
Authors: Haotong Yang, Zhouchen Lin, Muhan Zhang
Affiliations: 1Key Lab of Machine Perception (MoE), School of Intelligence Science and Technology, Peking University; 4Beijing Institute for General Artificial Intelligence; 2Institute for Artificial Intelligence, Peking University
Conference: nips 2022 (main track)
Keywords: Knowledge graph;theory
Decision: Highlighted
Title: A Unified Framework for Alternating Offline Model Training and Policy Learning
Authors: Shentao Yang, Shujian Zhang, Yihao Feng, Mingyuan Zhou
Affiliations: Salesforce Research; The University of Texas at Austin
Conference: nips 2022 (main track)
Keywords: Offline Reinforcement Learning;Model-based Reinforcement Learning;Mismatched Model Objectives
Decision: Poster
Title: Efficient Meta Reinforcement Learning for Preference-based Fast Adaptation
Authors: Zhizhou Ren, Anji Liu, Yitao Liang, Jian Peng, Jianzhu Ma
Affiliations: Institute for Artificial Intelligence, Peking University, Beijing Institute for General Artificial Intelligence; University of California, Los Angeles; University of Illinois at Urbana-Champaign, Helixon Ltd.; Helixon Ltd., University of Illinois at Urbana-Champaign; Institute for AI Industry Research, Tsinghua University
Conference: nips 2022 (main track)
Keywords: Preference-based Reinforcement Learning;Meta Reinforcement Learning
Decision: Poster
Title: Scalable Distributional Robustness in a Class of Non-Convex Optimization with Guarantees
Authors: Avinandan Bose, Arunesh Sinha, Tien Mai
Affiliations: University of Washington; Singapore Management University; Rutgers University
Conference: nips 2022 (main track)
Keywords: distributional robustness;variance regularization;non-convex optimization;global optimization;fractional program;mixed-integer second order cone
Decision: Poster
Title: On the Statistical Efficiency of Reward-Free Exploration in Non-Linear RL
Authors: Jinglin Chen, Aditya Modi, Akshay Krishnamurthy, Nan Jiang, Alekh Agarwal
Affiliations: Google Research; Department of Computer Science, University of Illinois Urbana-Champaign; Microsoft Research; Microsoft
Conference: nips 2022 (main track)
Keywords: Reinforcement learning;reward-free exploration;sample complexity analysis;general non-linear function approximation
Decision: Poster
Title: Differentially Private Model Compression
Authors: FatemehSadat Mireshghallah, Arturs Backurs, Huseyin A. Inan, Lukas Wutschitz, Janardhan Kulkarni
Affiliations: University of California San Diego; Microsoft Research; Microsoft
Conference: nips 2022 (main track)
Keywords: Differentially Private Training;DP Model Compression;DP Language Models;NLP Tasks
Decision: Poster
Title: Exploring through Random Curiosity with General Value Functions
Authors: Aditya Ramesh, Louis Kirsch, Sjoerd van Steenkiste, Jürgen Schmidhuber
Affiliations: The Swiss AI Lab (IDSIA), University of Lugano (USI) & SUPSI; The Swiss AI Lab (IDSIA), University of Lugano (USI) & SUPSI, AI Initiative, King Abdullah University of Science and Technology (KAUST), NNAISENSE; Google Research
Conference: nips 2022 (main track)
Keywords: exploration;curiosity;general value functions;random network distillation
Decision: Poster
Title: Probable Domain Generalization via Quantile Risk Minimization
Authors: Cian Eastwood, Alexander Robey, Shashank Singh, Julius von Kügelgen, Hamed Hassani, George J. Pappas, Bernhard Schölkopf
Affiliations: Max Planck Institute for Intelligent Systems, Tübingen; Max Planck Institute for Intelligent Systems, Tübingen; University of Cambridge; University of Pennsylvania; Max Planck Institute for Intelligent Systems, Tübingen; University of Edinburgh
Conference: nips 2022 (main track)
Keywords: domain generalization;out-of-distribution generalization;invariant prediction;causality;robust optimization;risk-aware optimization
Decision: Poster
Title: Ambiguous Images With Human Judgments for Robust Visual Event Classification
Authors: Kate Sanders, Reno Kriz, Anqi Liu, Benjamin Van Durme
Affiliations: Johns Hopkins University, Human Language Technology Center of Excellence
Conference: nips 2022 (Datasets & Benchmarks track)
Keywords: Datasets;Computer Vision;Cognitive Science;Uncertainty;Perception;Model Calibration
Decision: Poster
Title: Distinguishing discrete and continuous behavioral variability using warped autoregressive HMMs
Authors: Julia Costacurta, Lea Duncker, Blue Sheffer, Winthrop Gillis, Caleb Weinreb, Jeffrey Markowitz, Sandeep R Datta, Alex Williams, Scott Linderman
Affiliations: Stanford University; Georgia Institute of Technology, Emory University; Harvard Medical School; New York University, Flatiron Institute
Conference: nips 2022 (main track)
Keywords: naturalistic behavior;clustering;markov models;time series
Decision: Poster
Title: Iso-Dream: Isolating and Leveraging Noncontrollable Visual Dynamics in World Models
Authors: Minting Pan, Xiangming Zhu, Yunbo Wang, Xiaokang Yang
Affiliations: MoE Key Lab of Artificial Intelligence, AI Institute, Shanghai Jiao Tong University
Conference: nips 2022 (main track)
Keywords: Reinforcement learning;World model;Visual dynamics
Decision: Poster
Title: Differentially Private Linear Sketches: Efficient Implementations and Applications
Authors: Fuheng Zhao, Dan Qiao, Rachel Redberg, Divyakant Agrawal, Amr El Abbadi, Yu-Xiang Wang
Affiliations: Department of Computer Science, UC Santa Barbara
Conference: nips 2022 (main track)
Keywords: Differential Privacy;Linear Sketch;Frequency;Top K;Heavy Hitter;Frequent Items;Quantile;Streaming Algorithm
Decision: Poster
Title: DARE: Disentanglement-Augmented Rationale Extraction
Authors: Linan Yue, Qi Liu, Yichao Du, Yanqing An, Li Wang, Enhong Chen
Affiliations: Anhui Province Key Laboratory of Big Data Analysis and Application, University of Science and Technology of China; ByteDance; Anhui Province Key Laboratory of Big Data Analysis and Application, University of Science and Technology of China
Conference: nips 2022 (main track)
Keywords: Rationale Extraction;Disentanglement;Mutual Information
Decision: Poster
Title: On Optimal Learning Under Targeted Data Poisoning
Authors: Steve Hanneke, Amin Karbasi, Mohammad Mahmoody, Idan Mehalel, Shay Moran
Affiliations: Technion, Israel and Google Research; University of Virginia, USA; Technion, Israel; Purdue University, USA; Yale University, USA and Google Research
Conference: nips 2022 (main track)
Decision: Highlighted
Title: MissDAG: Causal Discovery in the Presence of Missing Data with Continuous Additive Noise Models
Authors: Erdun Gao, Ignavier Ng, Mingming Gong, Li Shen, Wei Huang, Tongliang Liu, Kun Zhang, Howard Bondell
Conference: nips 2022 (main track)
Keywords: Causal discovery;Incomplete data;Additive noise models;EM method;Monte Carlo sampling
Decision: Poster
Title: Efficient Frameworks for Generalized Low-Rank Matrix Bandit Problems
Authors: Yue Kang, Cho-Jui Hsieh, Thomas Chun Man Lee
Affiliations: Department of Statistics, University of California, Davis, Davis, CA 95616; Department of Computer Science, University of California, Los Angeles, Los Angeles, CA 90095
Conference: nips 2022 (main track)
Keywords: contextual bandits;online learning
Decision: Poster
Title: Amortized Inference for Heterogeneous Reconstruction in Cryo-EM
Authors: Axel Levy, Gordon Wetzstein, Julien N.P Martel, Frederic Poitevin, Ellen Zhong
Affiliations: Stanford University; SLAC National Accelerator Laboratory; Princeton University
Conference: nips 2022 (main track)
Keywords: Cryo-electron microscopy;3D Reconstruction;Neural Scene Representation
Decision: Poster
Title: Towards Understanding Grokking: An Effective Theory of Representation Learning
Authors: Ziming Liu, Ouail Kitouni, Niklas S Nolte, Eric Michaud, Max Tegmark, Mike Williams
Affiliations: Department of Physics, Institute for AI and Fundamental Interactions, MIT
Conference: nips 2022 (main track)
Keywords: grokking;representation learning;physics;effective theory
Decision: Highlighted
Title: What Makes a "Good" Data Augmentation in Knowledge Distillation - A Statistical Perspective
Authors: Huan Wang, Suhas Lohit, Michael Jones, Yun Fu
Affiliations: Northeastern University, Boston, MA; MERL, Cambridge, MA
Conference: nips 2022 (main track)
Keywords: knowledge distillation;data augmentation;CutMix;CutMixPick;covariance of teacher-student cross-entropy;teacher's mean probability
Decision: Poster
Title: A PAC-Bayesian Generalization Bound for Equivariant Networks
Authors: Arash Behboodi, Gabriele Cesa, Taco Cohen
Affiliations: Qualcomm AI Research, Amsterdam†, AMLab, University of Amsterdam; Qualcomm AI Research, Amsterdam†
Conference: nips 2022 (main track)
Keywords: generalization error;equivariant networks;group representation;PAC Bayesian
Decision: Poster
Title: Batch-Size Independent Regret Bounds for Combinatorial Semi-Bandits with Probabilistically Triggered Arms or Independent Arms
Authors: Xutong Liu, Jinhang Zuo, Siwei Wang, Carlee Joe-Wong, John C.S. Lui, Wei Chen
Affiliations: Carnegie Mellon University, Pittsburgh, PA, USA; Microsoft Research, Beijing, China; The Chinese University of Hong Kong, Hong Kong SAR, China
Conference: nips 2022 (main track)
Keywords: Combinatorial multi-armed bandits;Variance-aware;Triggering arms;Batch-size
Decision: Poster
Title: Certifying Some Distributional Fairness with Subpopulation Decomposition
Authors: Mintong Kang, Linyi Li, Maurice Weber, Yang Liu, Ce Zhang, Bo Li
Affiliations: UIUC; UC Santa Cruz; ETH Zurich
Conference: nips 2022 (main track)
Keywords: Certifying Fairness;fairness constrained distribution;distribution shifts
Decision: Poster
Title: Guaranteed Conservation of Momentum for Learning Particle-based Fluid Dynamics
Authors: Lukas Prantl, Benjamin Ummenhofer, Vladlen Koltun, Nils Thuerey
Affiliations: Apple; Technical University of Munich; Intel Labs
Conference: nips 2022 (main track)
Keywords: particle-based fluids;conservation of momentum;symmetry;antisymmetry;physical simulation
Decision: Highlighted
Title: Toward Efficient Robust Training against Union of $\ell_p$ Threat Models
Authors: Gaurang Sriramanan, Maharshi Gor, Soheil Feizi
Affiliations: Department of Computer Science, University of Maryland, College Park
Conference: nips 2022 (main track)
Keywords: Adversarial Robustness;Adversarial Defense;Adversarial Training;Multiple Threat Models;Fast Adversarial Training;Efficient Adversarial Training;Single-Step Adversarial Training
Decision: Poster
Title: Watermarking for Out-of-distribution Detection
Authors: Qizhou Wang, Feng Liu, Yonggang Zhang, Jing Zhang, Chen Gong, Tongliang Liu, Bo Han
Affiliations: School of Mathematics and Statistics, The University of Melbourne; PCA Lab, Key Lab of Intelligent Perception and Systems for High-Dimensional Information of MoE, Jiangsu Key Lab of Image and Video Understanding for Social Security, School of Computer Science and Engineering, Nanjing University of Science and Technology; Department of Computer Science, Hong Kong Baptist University; TML Lab, The University of Sydney; School of Computer Science, The University of Sydney
Conference: nips 2022 (main track)
Keywords: OOD Detection
Decision: Poster
Title: Embed and Emulate: Learning to estimate parameters of dynamical systems with uncertainty quantification
Authors: Ruoxi Jiang, Rebecca Willett
Affiliations: Department of Statistics and Computer Science, University of Chicago, Chicago, IL 60637; Department of Computer Science, University of Chicago, Chicago, IL 60637
Conference: nips 2022 (main track)
Keywords: Learned emulators;contrastive learning;parameter estimation;inverse problems;climate forecasting
Decision: Poster
Title: Semantic uncertainty intervals for disentangled latent spaces
Authors: Swami Sankaranarayanan, Anastasios Angelopoulos, Stephen Bates, Yaniv Romano, Phillip Isola
Affiliations: MIT; University of California, Berkeley; Technion—Israel Institute of Technology
Conference: nips 2022 (main track)
Keywords: generative models;uncertainty estimation;distribution free statistics
Decision: Poster
Title: Analyzing Data-Centric Properties for Graph Contrastive Learning
Authors: Puja Trivedi, Ekdeep S Lubana, Mark Heimann, Danai Koutra, Jayaraman Thiagarajan
Affiliations: University of Michigan, CBS, Harvard University; University of Michigan; Lawrence Livermore National Labs
Conference: nips 2022 (main track)
Keywords: unsupervised representation learning;generalization;graph neural networks;augmentation;invariance;contrastive learning;self supervised learning
Decision: Poster
Title: Meta-Album: Multi-domain Meta-Dataset for Few-Shot Image Classification
Authors: Ihsan Ullah, Dustin Carrión-Ojeda, Sergio Escalera, Isabelle Guyon, Mike Huisman, Felix Mohr, Jan N. van Rijn, Haozhe Sun, Joaquin Vanschoren, Phan Anh Vu
Affiliations: Universidad de La Sabana, Colombia; LISN/CNRS/INRIA, Université Paris-Saclay, France; Technische Universität Darmstadt, Germany; Universitat de Barcelona, Spain; hessian.AI, Germany; ChaLearn, USA; Leiden Institute of Advanced Computer Science (LIACS), Leiden University, the Netherlands; TU/e Eindhoven University of Technology, The Netherlands
Conference: nips 2022 (Datasets & Benchmarks track)
Keywords: meta-dataset;few-shot learning;meta-learning;cross-domain meta-learning
Decision: Poster
Title: Multi-block Min-max Bilevel Optimization with Applications in Multi-task Deep AUC Maximization
Authors: Quanqi Hu, YONGJIAN ZHONG, Tianbao Yang
Affiliations: Department of Computer Science, University of Iowa, Iowa City, IA 52242; Department of Computer Science, Texas A&M University, College Station, TX 77843
Conference: nips 2022 (main track)
Decision: Poster
Title: TA-GATES: An Encoding Scheme for Neural Network Architectures
Authors: Xuefei Ning, Zixuan Zhou, Junbo Zhao, Tianchen Zhao, Yiping Deng, Changcheng Tang, Shuang Liang, Huazhong Yang, Yu Wang
Affiliations: Novauto Technology Co. Ltd.; TCS Lab, Huawei; Department of Electronic Engineering, Tsinghua University
Conference: nips 2022 (main track)
Keywords: Architecture Encoding Scheme;Neural architecture search (NAS);Predictor-based NAS;AutoML
Decision: Poster
Title: Stability Analysis and Generalization Bounds of Adversarial Training
Authors: Jiancong Xiao, Yanbo Fan, Ruoyu Sun, Jue Wang, Zhi-Quan Luo
Affiliations: The Chinese University of Hong Kong, Shenzhen; Tencent AI Lab; The Chinese University of Hong Kong, Shenzhen; Shenzhen Research Institute of Big Data
Conference: nips 2022 (main track)
Keywords: Generalization;Adversarial Training;Uniform Stability
Decision: Poster
Title: Understanding Programmatic Weak Supervision via Source-aware Influence Function
Authors: Jieyu Zhang, Haonan Wang, Cheng-Yu Hsieh, Alexander Ratner
Affiliations: University of Illinois Urbana-Champaign; University of Washington; University of Washington and Snorkel AI, Inc.
Conference: nips 2022 (main track)
Keywords: Data-centric Method;Programmatic Weak Supervision;Influence Function;Interpretability
Decision: Poster
Title: On Sample Optimality in Personalized Collaborative and Federated Learning
Authors: Mathieu Even, Laurent Massoulié, Kevin Scaman
Affiliations: Inria Paris - Département d’informatique de l’ENS, PSL Research University; Inria Paris - Département d’informatique de l’ENS, PSL Research University; Microsoft-Inria Joint Center
Conference: nips 2022 (main track)
Keywords: Stochastic optimization;personalization;collaborative;federated
Decision: Poster
Title: FNeVR: Neural Volume Rendering for Face Animation
Authors: Bohan Zeng, Boyu Liu, Hong Li, Xuhui Liu, Jianzhuang Liu, Dapeng Chen, Wei Peng, Baochang Zhang
Affiliations: Huawei Noah’s Ark Lab, Shenzhen, P.R.China; Huawei, Shenzhen, P.R.China; Institute of Artificial Intelligence, School of Automation Science and Electrical Engineering, Beihang University, Beijing, P.R.China; Institute of Artificial Intelligence, School of Automation Science and Electrical Engineering, Beihang University, Beijing, P.R.China; Zhongguancun Laboratory, Beijing, P.R.China; Sino-French Engineer School, Beihang University, Beijing, P.R.China
Conference: nips 2022 (main track)
Keywords: face animation;neural volume rendering;lightweight pose editor;image synthesis
Decision: Poster
Title: Holomorphic Equilibrium Propagation Computes Exact Gradients Through Finite Size Oscillations
Authors: Axel Laborieux, Friedemann Zenke
Affiliations: Friedrich Miescher Institute for Biomedical Research, Basel, Switzerland; Friedrich Miescher Institute for Biomedical Research, Basel, Switzerland; Faculty of Natural Sciences, University of Basel, Basel, Switzerland
Conference: nips 2022 (main track)
Keywords: Equilibrium propagation;credit assignment;bio-plausible deep learning;implicit differentiation
Decision: Highlighted
Title: INRAS: Implicit Neural Representation for Audio Scenes
Authors: Kun Su, Mingfei Chen, Eli Shlizerman
Affiliations: Department of Electrical & Computer Engineering, University of Washington, Seattle, USA; Department of Applied Mathematics, University of Washington, Seattle, USA
Conference: nips 2022 (main track)
Keywords: audio scenes;spatial audio;neural acoustic fields;implicit neural representation;applications
Decision: Poster
Title: Zero-Sum Stochastic Stackelberg Games
Authors: Denizalp Goktas, Sadie Zhao, Amy Greenwald
Affiliations: Brown University, Providence, RI 02906, USA; Department of Computer Science, Brown University, Providence, RI 02906, USA; Department of Computer Science, Pomona College, Pomona, CA, USA
Conference: nips 2022 (main track)
Keywords: Stackelberg games;Equilibrium Computation;Market equilibrium
Decision: Poster
Title: Geometric Knowledge Distillation: Topology Compression for Graph Neural Networks
Authors: Chenxiao Yang, Qitian Wu, Junchi Yan
Affiliations: Department of Computer Science and Engineering, MoE Key Lab of Artificial Intelligence, Shanghai Jiao Tong University; Department of Computer Science and Engineering, MoE Key Lab of Artificial Intelligence, Shanghai Jiao Tong University; Shanghai AI Laboratory
Conference: nips 2022 (main track)
Keywords: Graph Neural Networks;Knowledge Distillation;Geometric Deep Learning
Decision: Poster
Title: Scaling Multimodal Pre-Training via Cross-Modality Gradient Harmonization
Authors: Junru Wu, Yi Liang, feng han, Hassan Akbari, Zhangyang Wang, Cong Yu
Affiliations: University of Texas at Austin; Texas A&M University; Celonis Inc. / CeloAI; Google Research
Conference: nips 2022 (main track)
Keywords: Cross-Modality Alignment;Multimodal Pre-Training;Modality-agnostic
Decision: Poster
Title: Shape And Structure Preserving Differential Privacy
Authors: Carlos Soto, Karthik Bharath, Matthew Reimherr, Aleksandra Slavković
Affiliations: Department of Statistics, Pennsylvania State University, University Park, PA; School of Mathematical Sciences, University of Nottingham, Nottingham, UK
Conference: nips 2022 (main track)
Keywords: differential privacy;shape analysis;manifolds
Decision: Poster
Title: Regularized Molecular Conformation Fields
Authors: Lihao Wang, Yi Zhou, Yiqun Wang, Xiaoqing Zheng, Xuanjing Huang, Hao Zhou
Affiliations: Fudan University, Shanghai Collaborative Innovation Center of Intelligent Visual Computing; Institute for AI Industry Research (AIR), Tsinghua University; ByteDance AI Lab; Fudan University
Conference: nips 2022 (main track)
Keywords: random fields;conformation generation;molecular fragmentation
Decision: Poster
Title: PyramidCLIP: Hierarchical Feature Alignment for Vision-language Model Pretraining
Authors: Yuting Gao, Jinfeng Liu, Zihan Xu, Jun Zhang, Ke Li, Rongrong Ji, Chunhua Shen
Affiliations: Zhejiang University; Tencent Youtu Lab, Shanghai Jiaotong University; Tencent Youtu Lab
Conference: nips 2022 (main track)
Keywords: Vision-language Pre-training
Decision: Highlighted
Title: Outlier-Robust Sparse Estimation via Non-Convex Optimization
Authors: Yu Cheng, Ilias Diakonikolas, Rong Ge, Shivam Gupta, Daniel Kane, Mahdi Soltanolkotabi
Affiliations: University of Southern California, Los Angeles, CA 90089; University of Texas at Austin, Austin, TX 78712; Duke University, Durham, NC 27708; University of California, San Diego, La Jolla, CA 92093; University of Wisconsin-Madison, Madison, WI 53706; Brown University, Providence, RI 02912
Conference: nips 2022 (main track)
Keywords: learning theory;high-dimensional robust statistics;non-convex optimization;sparse estimation
Decision: Poster
Title: Unsupervised Learning of Equivariant Structure from Sequences
Authors: Takeru Miyato, Masanori Koyama, Kenji Fukumizu
Affiliations: Preferred Networks, Inc.; Preferred Networks, Inc. and University of Tübingen; The Institute of Statistical Mathematics and Preferred Networks, Inc.
Conference: nips 2022 (main track)
Keywords: Disentanglement;Symmetry;Unsupervised Learning;Equivariance
Decision: Poster
Title: Fair Infinitesimal Jackknife: Mitigating the Influence of Biased Training Data Points Without Refitting
Authors: Prasanna Sattigeri, Soumya Ghosh, Inkit Padhi, Pierre Dognin, Kush Varshney
Affiliations: MIT-IBM Watson AI Lab, IBM Research, Cambridge, MA; IBM Research, Yorktown Heights, NY
Conference: nips 2022 (main track)
Keywords: Fairness;Influence Functions;Infinitesimal Jackknife
Decision: Poster
Title: Honor of Kings Arena: an Environment for Generalization in Competitive Reinforcement Learning
Authors: Hua Wei, Jingxiao Chen, Xiyang Ji, Hongyang Qin, Minwen Deng, Siqin Li, Liang Wang, Weinan Zhang, Yong Yu, Liu Linc, Lanxiao Huang, Deheng Ye, Qiang Fu, Wei Yang
Affiliations: Tencent AI Lab, New Jersey Institute of Technology; Shanghai Jiao Tong University; Tencent Timi Studio, Shanghai Jiao Tong University; Tencent AI Lab; Tencent Timi Studio
Conference: nips 2022 (Datasets & Benchmarks track)
Keywords: Reinforcement learning;competitive reinforcement learning
Decision: Poster