hunoutl/paperlists huggingface dataset:
Title: Learning Bipartite Graphs: Heavy Tails and Multiple Components
Authors: José Vinícius de Miranda Cardoso, Jiaxi Ying, Daniel Palomar
Affiliations: Department of Mathematics, The Hong Kong University of Science and Technology; Department of Electronic and Computer Engineering, The Hong Kong University of Science and Technology; Department of Industrial Engineering and Decision Analytics, The Hong Kong University of Science and Technology
Conference: nips 2022 (main track)
Keywords: graphical models;bipartite graphs;heavy tails;financial markets
Decision: Poster
Title: How Mask Matters: Towards Theoretical Understandings of Masked Autoencoders
Authors: Qi Zhang, Yifei Wang, Yisen Wang
Affiliations: School of Mathematical Sciences, Peking University; Key Lab. of Machine Perception (MoE), School of Intelligence Science and Technology, Peking University; Institute for Artificial Intelligence, Peking University
Conference: nips 2022 (main track)
Decision: Poster
Title: Oscillatory Tracking of Continuous Attractor Neural Networks Account for Phase Precession and Procession of Hippocampal Place Cells
Authors: Tianhao Chu, Zilong Ji, Junfeng Zuo, Wenhao Zhang, Tiejun Huang, Yuanyuan Mi, Si Wu
Affiliations: Institute of Cognitive Neuroscience, University College London; Center for Neurointelligence, School of Medicine, Chongqing University; Lyda Hill Department of Bioinformatics, O’Donnell Brain Institute, UT Southwestern Medical Center; School of Computer Science, Peking University; School of Psychology and Cognitive Sciences, IDG/McGovern Institute for Brain Research, Peking-Tsinghua Center for Life Sciences, Academy for Advanced Interdisciplinary Studies, Center of Quantitative Biology, Peking University
Conference: nips 2022 (main track)
Keywords: theoretical neuroscience;hippocampus;theta phase coding;continuous attractor neural network;feedback inhibition
Decision: Poster
Title: SketchBoost: Fast Gradient Boosted Decision Tree for Multioutput Problems
Authors: Leonid Iosipoi, Anton Vakhrushev
Affiliations: Sber AI Lab and HSE University, Moscow, Russia; Sber AI Lab, Moscow, Russia
Conference: nips 2022 (main track)
Keywords: gradient boosting;decision trees;multiple outputs;multiclass classification;multilabel classification;multioutput regression
Decision: Poster
Title: Automatic differentiation of nonsmooth iterative algorithms
Authors: Jerome Bolte, Edouard Pauwels, Samuel Vaiter
Affiliations: CNRS & Université Côte d’Azur, Laboratoire J. A. Dieudonné. Nice, France.; Toulouse School of Economics, University of Toulouse Capitole. Toulouse, France.; IRIT, CNRS, Université de Toulouse. Institut Universitaire de France (IUF). Toulouse, France.
Conference: nips 2022 (main track)
Keywords: Fixed point solvers;nonsmooth algorithms;automatic differentiation;unrolling;piggy back differentiation;conservative gradients.
Decision: Poster
Title: Bayesian Optimization over Discrete and Mixed Spaces via Probabilistic Reparameterization
Authors: Samuel Daulton, Xingchen Wan, David Eriksson, Maximilian Balandat, Michael A Osborne, Eytan Bakshy
Affiliations: Meta; University of Oxford; University of Oxford, Meta
Conference: nips 2022 (main track)
Keywords: Bayesian Optimization
Decision: Poster
Title: Chroma-VAE: Mitigating Shortcut Learning with Generative Classifiers
Authors: Wanqian Yang, Polina Kirichenko, Micah Goldblum, Andrew Wilson
Affiliations: New York University
Conference: nips 2022 (main track)
Keywords: deep generative model;variational autoencoder;generative classifier;shortcut learning;spurious correlation;simplicity bias
Decision: Poster
Title: Revisiting Non-Parametric Matching Cost Volumes for Robust and Generalizable Stereo Matching
Authors: Kelvin Cheng, Tianfu Wu, Christopher Healey
Affiliations: ECE at NC State University, Raleigh, NC 27695; CS at NC State University, Raleigh, NC 27695
Conference: nips 2022 (main track)
Keywords: Stereo Matching;Contextualized Non-Parametric Cost Volume;Adversarial Robustness;Simulation-to-Real Generalizability
Decision: Poster
Title: K-Radar: 4D Radar Object Detection for Autonomous Driving in Various Weather Conditions
Authors: Dong-Hee Paek, SEUNG-HYUN KONG, Kevin Tirta Wijaya
Affiliations: CCS Graduate School of Mobility, KAIST; Robotics Program, KAIST
Conference: nips 2022 (Datasets & Benchmarks track)
Keywords: 4D Radar;4D Radar tensor;3D object detection;Adverse weather;Autonomous driving
Decision: Poster
Title: CodeRL: Mastering Code Generation through Pretrained Models and Deep Reinforcement Learning
Authors: Hung Le, Yue Wang, Akhilesh Deepak Gotmare, Silvio Savarese, Steven Chu Hong Hoi
Affiliations: Salesforce Research
Conference: nips 2022 (main track)
Keywords: code generation;deep reinforcement learning;pretrained language model;program synthesis
Decision: Poster
Title: Scalable design of Error-Correcting Output Codes using Discrete Optimization with Graph Coloring
Authors: Samarth Gupta, Saurabh Amin
Affiliations: Laboratory for Information & Decision Systems, Massachusetts Institute of Technology, USA; Center for Computational Science & Engg., Massachusetts Institute of Technology, USA
Conference: nips 2022 (main track)
Keywords: Error-Correcting Output Codes;Graph Coloring;Discrete optimization;classification;transfer-learning
Decision: Poster
Title: Double Bubble, Toil and Trouble: Enhancing Certified Robustness through Transitivity
Authors: Andrew Cullen, Paul Montague, Shijie Liu, Sarah Erfani, Benjamin Rubinstein
Affiliations: School of Computing and Information Systems, University of Melbourne, Parkville, Australia; Defence Science and Technology Group, Adelaide, Australia
Conference: nips 2022 (main track)
Keywords: certified robustness;adversarial;guarantees;adversarial defence;adversarial attack
Decision: Highlighted
Title: Learning the Structure of Large Networked Systems Obeying Conservation Laws
Authors: Anirudh Rayas, Rajasekhar Anguluri, Gautam Dasarathy
Affiliations: Arizona State University
Conference: nips 2022 (main track)
Keywords: Structure Learning;Networked Systems;Conservation Laws;Gaussian Graphical models;Sparsistency;High dimensional regime
Decision: Poster
Title: On the Identifiability of Nonlinear ICA: Sparsity and Beyond
Authors: Yujia Zheng, Ignavier Ng, Kun Zhang
Affiliations: Carnegie Mellon University; Carnegie Mellon University, Mohamed bin Zayed University of Artificial Intelligence
Conference: nips 2022 (main track)
Keywords: identifiability;nonlinear ICA;unsupervised learning
Decision: Poster
Title: One Positive Label is Sufficient: Single-Positive Multi-Label Learning with Label Enhancement
Authors: Ning Xu, Congyu Qiao, Jiaqi Lv, Xin Geng, Min-Ling Zhang
Affiliations: School of Computer Science and Engineering, Southeast University, Nanjing 210096, China; RIKEN Center for Advanced Intelligence Project, Tokyo 103-0027, Japan
Conference: nips 2022 (main track)
Keywords: Label Enhancement;Multi-Label Learning
Decision: Highlighted
Title: What Makes Graph Neural Networks Miscalibrated?
Authors: Hans Hao-Hsun Hsu, Yuesong Shen, Christian Tomani, Daniel Cremers
Affiliations: Technical University of Munich, Germany; Technical University of Munich, Germany; Munich Center for Machine Learning, Germany
Conference: nips 2022 (main track)
Keywords: Graph Neural Networks;Post-hoc Calibration
Decision: Poster
Title: Globally Convergent Policy Search for Output Estimation
Authors: Jack Umenberger, Max Simchowitz, Juan Perdomo, Kaiqing Zhang, Russ Tedrake
Affiliations: EECS, UC Berkeley; CSAIL, MIT; CSAIL & LIDS, MIT
Conference: nips 2022 (main track)
Keywords: Model-free reinforcement learning;policy optimization;global convergence;partially observable systems
Decision: Poster
Title: On the Stability and Scalability of Node Perturbation Learning
Authors: Naoki Hiratani, Yash Mehta, Timothy Lillicrap, Peter E Latham
Affiliations: Gatsby Unit, UCL, London, UK; Harvard; Gatsby Unit, UCL, Cambridge, MA, USA; Deepmind, London, UK; Janelia; Gatsby Unit, UCL, Ashburn, VA, USA
Conference: nips 2022 (main track)
Keywords: Biologically Plausible Deep Networks;Credit Assignment;Neuroscience;Dynamical Systems
Decision: Poster
Title: ViewFool: Evaluating the Robustness of Visual Recognition to Adversarial Viewpoints
Authors: Yinpeng Dong, Shouwei Ruan, Hang Su, Caixin Kang, Xingxing Wei, Jun Zhu
Affiliations: Institute of Artiﬁcial Intelligence, Beihang University, Beijing 100191, China; Dept. of Comp. Sci. and Tech., Institute for AI, Tsinghua-Bosch Joint ML Center, THBI Lab, BNRist Center, Tsinghua University, Beijing 100084, China
Conference: nips 2022 (main track)
Keywords: Visual Recognition;Robustness;Viewpoint Changes;OOD Generalization
Decision: Poster
Title: On the Global Convergence Rates of Decentralized Softmax Gradient Play in Markov Potential Games
Authors: Runyu Zhang, Jincheng Mei, Bo Dai, Dale Schuurmans, Na Li
Affiliations: University of Alberta, Google Research, Brain Team; Harvard University; Google Research, Brain Team
Conference: nips 2022 (main track)
Keywords: multiagent learning;Markov potential games;policy gradient;Nash equilibrium
Decision: Poster
Title: 3DOS: Towards 3D Open Set Learning - Benchmarking and Understanding Semantic Novelty Detection on Point Clouds
Authors: Antonio Alliegro, Francesco Cappio Borlino, Tatiana Tommasi
Affiliations: Italian Institute of Technology, Italy; Department of Control and Computer Engineering, Politecnico di Torino, Italy
Conference: nips 2022 (Datasets & Benchmarks track)
Keywords: 3D;point clouds;open set;semantic novelty detection;out of distribution;OOD
Decision: Poster
Title: Expected Frequency Matrices of Elections: Computation, Geometry, and Preference Learning
Authors: Niclas Boehmer, Robert Bredereck, Edith Elkind, Piotr Faliszewski, Stanisław Szufa
Affiliations: University of Oxford; AGH University; Algorithmics and Computational Complexity, Technische Universität Berlin; AGH University, Jagiellonian University; TU Clausthal
Conference: nips 2022 (main track)
Keywords: Mallows model;visualizing experimental results;vote distributions;single-peaked elections
Decision: Poster
Title: Decomposable Non-Smooth Convex Optimization with Nearly-Linear Gradient Oracle Complexity
Authors: Sally Dong, Haotian Jiang, Yin Tat Lee, Swati Padmanabhan, Guanghao Ye
Affiliations: Department of Mathematics, Massachusetts Institute of Technology, Cambridge, MA 02142; Electrical & Computer Engineering, University of Washington, Seattle, WA 98195; Computer Science & Engineering, University of Washington, Seattle, WA 98195
Conference: nips 2022 (main track)
Keywords: decomposable;non-smooth convex optimization;gradient oracle complexity;submodular function minimization
Decision: Poster
Title: “Why Not Other Classes?”: Towards Class-Contrastive Back-Propagation Explanations
Authors: Yipei Wang, Xiaoqian Wang
Affiliations: Elmore Family School of Electrical & Computer Engineering, Purdue University, West Lafayette, IN 47906
Conference: nips 2022 (main track)
Keywords: explainable artificial intelligence;attribution explanations;contrastive explanations
Decision: Poster
Title: Exact Solutions of a Deep Linear Network
Authors: Liu Ziyin, Botao Li, Xiangming Meng
Affiliations: Department of Physics, The University of Tokyo; Laboratoire de Physique de l’Ecole normale supérieure, ENS, Université PSL, CNRS, Sorbonne Université, Université de Paris Cité, Paris, France; Institute for Physics of Intelligence, Graduate School of Science, The University of Tokyo
Conference: nips 2022 (main track)
Keywords: Deep Linear Network;Exact Solution;Collapse
Decision: Poster
Title: Understanding the Failure of Batch Normalization for Transformers in NLP
Authors: Jiaxi Wang, Ji Wu, Lei Huang
Affiliations: Department of Electronic Engineering, Tsinghua University; Institute for Precision Medicine, Tsinghua University; SKLSDE, Institute of Artiﬁcial Intelligence, Beihang University; Department of Electronic Engineering, Tsinghua University
Conference: nips 2022 (main track)
Keywords: Batch Normalization;Transformer;Training Inference Discrepancy
Decision: Poster
Title: Unifying Voxel-based Representation with Transformer for 3D Object Detection
Authors: Yanwei Li, Yilun Chen, Xiaojuan Qi, Zeming Li, Jian Sun, Jiaya Jia
Affiliations: The University of Hong Kong; SmartMore; MEGVII Technology; The Chinese University of Hong Kong
Conference: nips 2022 (main track)
Keywords: Unified representation;Multi-modality input;3D object detection
Decision: Poster
Title: Injecting Domain Knowledge from Empirical Interatomic Potentials to Neural Networks for Predicting Material Properties
Authors: Zeren Shui, Daniel Karls, Mingjian Wen, ilia Nikiforov, Ellad Tadmor, George Karypis
Affiliations: University of Houston; University of Minnesota; University of Minnesota / AWS
Conference: nips 2022 (main track)
Keywords: Domain Knowledge;Neural Networks;Empirical Interatomic Potentials;Material Property Prediction
Decision: Poster
Title: Retrospective Adversarial Replay for Continual Learning
Authors: Lilly Kumari, Shengjie Wang, Tianyi Zhou, Jeff A Bilmes
Affiliations: University of Washington; University of Maryland; ByteDance
Conference: nips 2022 (main track)
Keywords: continual learning;adversarial perturbations;class incremental learning;boundary samples;catastrophic forgetting
Decision: Poster
Title: Hyperbolic Embedding Inference for Structured Multi-Label Prediction
Authors: Bo Xiong, Michael Cochez, Mojtaba Nayyeri, Steffen Staab
Affiliations: Vrije Universiteit Amsterdam, Discovery Lab, Elsevier, Amsterdam, The Netherlands; University of Stuttgart, Stuttgart, Germany; University of Stuttgart, University of Southampton, Stuttgart, Germany
Conference: nips 2022 (main track)
Keywords: Structured multi-Label prediction;hyperbolic geometry
Decision: Poster
Title: Power and limitations of single-qubit native quantum neural networks
Authors: Zhan Yu, Hongshun Yao, Mujin Li, Xin Wang
Affiliations: Institute for Quantum Computing, Baidu Research, Beijing 100193, China
Conference: nips 2022 (main track)
Keywords: quantum machine learning;quantum neural networks;expressivity;function approximation;universal approximation;Fourier series
Decision: Poster
Title: Towards Out-of-Distribution Sequential Event Prediction: A Causal Treatment
Authors: Chenxiao Yang, Qitian Wu, Qingsong Wen, Zhiqiang Zhou, Liang Sun, Junchi Yan
Affiliations: DAMO Academy, Alibaba Group; Department of Computer Science and Engineering, Shanghai Jiao Tong University
Conference: nips 2022 (main track)
Keywords: Sequential Event Prediction;Sequential Recommendation;Causal Inference;Out-of-Distribution Generalization
Decision: Poster
Title: Domain Adaptation meets Individual Fairness. And they get along.
Authors: Debarghya Mukherjee, Felix Petersen, Mikhail Yurochkin, Yuekai Sun
Affiliations: University of Michigan; Stanford University, University of Konstanz; IBM Research, MIT-IBM Watson AI Lab; Princeton University, University of Michigan
Conference: nips 2022 (main track)
Keywords: Domain adaptation;Individual fairness;Covariate shift
Decision: Poster
Title: GALOIS: Boosting Deep Reinforcement Learning via Generalizable Logic Synthesis
Authors: Yushi Cao, Zhiming Li, Tianpei Yang, Hao Zhang, YAN ZHENG, Yi Li, Jianye Hao, Yang Liu
Affiliations: Nanyang Technological University, Singapore; College of Intelligence and Computing, Tianjin University, Tianjin, China
Conference: nips 2022 (main track)
Keywords: deep reinforcement learning;program synthesis
Decision: Poster
Title: Controlled Sparsity via Constrained Optimization or: How I Learned to Stop Tuning Penalties and Love Constraints
Authors: Jose Gallego-Posada, Juan Ramirez, Akram Erraqabi, Yoshua Bengio, Simon Lacoste-Julien
Affiliations: Mila and DIRO, Université de Montréal, Canada; Canada CIFAR AI Chair; Mila and DIRO, Université de Montréal, Canada
Conference: nips 2022 (main track)
Keywords: sparsity;constrained optimization;deep learning;l0 regularization
Decision: Poster
Title: On global convergence of ResNets: From finite to infinite width using linear parameterization
Authors: Raphaël Barboni, Gabriel Peyré, Francois-Xavier Vialard
Affiliations: CNRS and ENS - PSL Univ.; ENS - PSL Univ.; LIGM, Univ. Gustave Eiffel, CNRS
Conference: nips 2022 (main track)
Keywords: Residual Neural Networks;Neural ODEs;Deep Learning
Decision: Poster
Title: Pre-Trained Model Reusability Evaluation for Small-Data Transfer Learning
Authors: Yao-Xiang Ding, Xi-Zhu Wu, Kun Zhou, Zhi-Hua Zhou
Affiliations: State Key Lab for CAD&CG, Zhejiang University; National Key Lab for Novel Software Technology, Nanjing University
Conference: nips 2022 (main track)
Keywords: transfer learning;metric learning;meta-learning
Decision: Poster
Title: AD-DROP: Attribution-Driven Dropout for Robust Language Model Fine-Tuning
Authors: Tao Yang, JInghao Deng, Xiaojun Quan, Qifan Wang, Shaoliang Nie
Affiliations: School of Computer Science and Engineering, Sun Yat-sen University; Meta AI
Conference: nips 2022 (main track)
Keywords: dropout;self-attention;attribution;fine-tune;language model
Decision: Poster
Title: Optimal-er Auctions through Attention
Authors: Dmitry Ivanov, Iskander Safiulin, Igor Filippov, Ksenia Balabaeva
Affiliations: Independent researcher, Russia; HSE University & Technion, Israel; ITMO University & BIOCAD, Russia
Conference: nips 2022 (main track)
Keywords: automated mechanism design;attention;transformers;optimal auctions;revenue;incentive-compatibility
Decision: Poster
Title: Towards Robust Blind Face Restoration with Codebook Lookup Transformer
Authors: Shangchen Zhou, Kelvin Chan, Chongyi Li, Chen Change Loy
Affiliations: S-Lab, Nanyang Technological University
Conference: nips 2022 (main track)
Keywords: Blind Face Restoration;Image Restoration;Codebook Learning;VQGAN;Discrete Prior
Decision: Poster
Title: Causality Preserving Chaotic Transformation and Classification using Neurochaos Learning
Authors: Harikrishnan N B, Aditi Kathpalia, Nithin Nagaraj
Affiliations: Consciousness Studies Programme, National Institute of Advanced Studies, Bengaluru, 560012, Karnataka, India; Department of Complex Systems, Institute of Computer Science of the Czech Academy of Sciences, Prague, Czech Republic; Department of Computer Science & Information Systems and APPCAIR, BITS Pilani K. K. Birla Goa Campus, India
Conference: nips 2022 (main track)
Keywords: Neurochaos Learning;Granger Causality;Compression-Complexity Causality;Coupled Auto Regressive Processes;Coupled Chaotic Maps;Causal Machine Learning;Transfer Learning
Decision: Poster
Title: Text-Adaptive Multiple Visual Prototype Matching for Video-Text Retrieval
Authors: Chengzhi Lin, Ancong Wu, Junwei Liang, Jun Zhang, Wenhang Ge, Wei-Shi Zheng, Chunhua Shen
Affiliations: School of Computer Science and Engineering, Sun Yat-sen University, China; AI Thrust, Hong Kong University of Science and Technology (Guangzhou); Zhejiang University; Tencent Youtu Lab
Conference: nips 2022 (main track)
Keywords: Video-Text Retrieval
Decision: Poster
Title: Exploration via Elliptical Episodic Bonuses
Authors: Mikael Henaff, Roberta Raileanu, Minqi Jiang, Tim Rocktäschel
Affiliations: University College London, Meta AI Research; University College London; Meta AI Research
Conference: nips 2022 (main track)
Keywords: reinforcement learning;exploration;generalization;contextual MDP
Decision: Poster
Title: Repairing Neural Networks by Leaving the Right Past Behind
Authors: Ryutaro Tanno, Melanie F. Pradier, Aditya Nori, Yingzhen Li
Affiliations: Microsoft Health Futures, Cambridge, UK; DeepMind, UK; Imperial College London, UK
Conference: nips 2022 (main track)
Keywords: model repairment;interpretability;continual learning;data deletion;debugging;interpretability
Decision: Poster
Title: Concentration of Data Encoding in Parameterized Quantum Circuits
Authors: Guangxi Li, Ruilin Ye, Xuanqiang Zhao, Xin Wang
Affiliations: University of Technology Sydney, NSW, Australia; Institute for Quantum Computing, Baidu Research, Beijing, China
Conference: nips 2022 (main track)
Keywords: quantum machine learning;quantum neural networks;data encoding;quantum classifier;parameterized quantum circuits
Decision: Poster
Title: Single Loop Gaussian Homotopy Method for Non-convex Optimization
Authors: Hidenori Iwakiri, Yuhang Wang, Shinji Ito, Akiko Takeda
Affiliations: The University of Tokyo, RIKEN AIP; The University of Tokyo; NEC Corporation, RIKEN AIP
Conference: nips 2022 (main track)
Keywords: Gaussian homotopy;Gaussian smoothing;Non-convex optimization;Worst-case iteration complexity;Zeroth-order optimization
Decision: Poster
Title: Lower Bounds and Nearly Optimal Algorithms in Distributed Learning with Communication Compression
Authors: Xinmeng Huang, Yiming Chen, Wotao Yin, Kun Yuan
Affiliations: DAMO Academy, Alibaba Group; Peking University; DAMO Academy, Alibaba Group; University of Pennsylvania
Conference: nips 2022 (main track)
Keywords: Distributed Learning;Communication Compression;Optimal Complexity;Non-convex Optimization
Decision: Poster
Title: Towards Trustworthy Automatic Diagnosis Systems by Emulating Doctors' Reasoning with Deep Reinforcement Learning
Authors: Arsene Fansi Tchango, Rishab Goel, Julien Martel, Zhi Wen, Gaetan Marceau Caron, Joumana Ghosn
Affiliations: Work done while at Mila-Quebec AI Institute; Mila-Quebec AI Institute; Work done while at Dialogue Health Technologies Inc.
Conference: nips 2022 (main track)
Keywords: Automatic Diagnosis;Deep Reinforcement Learning;Doctor reasoning;Differential Diagnosis
Decision: Poster
Title: Approximate Secular Equations for the Cubic Regularization Subproblem
Authors: Yihang Gao, Man-Chung Yue, Michael Ng
Affiliations: Musketeers Foundation Institute of Data Science, The University of Hong Kong, Pokfulam, Hong Kong; Department of Mathematics, The University of Hong Kong, Pokfulam, Hong Kong
Conference: nips 2022 (main track)
Keywords: cubic regularization subproblem;approximate secular equations;partial eigen information
Decision: Poster
Title: Understanding Non-linearity in Graph Neural Networks from the Bayesian-Inference Perspective
Authors: Rongzhe Wei, Haoteng YIN, Junteng Jia, Austin Benson, Pan Li
Affiliations: Department of Computer Science, Purdue University; Department of Computer Science, Cornell University
Conference: nips 2022 (main track)
Keywords: Graph Neural Network;Bayesian Method;Theory
Decision: Poster
Title: A Regret-Variance Trade-Off in Online Learning
Authors: Dirk van der Hoeven, Nikita Zhivotovskiy, Nicolò Cesa-Bianchi
Affiliations: Dept. of Computer Science, Università degli Studi di Milano, Italy; Dept. of Statistics, University of California, Berkeley
Conference: nips 2022 (main track)
Keywords: Online learning;statistical learning;corrupted feedback;selective sampling;abstention
Decision: Poster
Title: Scaling & Shifting Your Features: A New Baseline for Efficient Model Tuning
Authors: Dongze Lian, Daquan Zhou, Jiashi Feng, Xinchao Wang
Affiliations: National University of Singapore; National University of Singapore, ByteDance; ByteDance
Conference: nips 2022 (main track)
Keywords: Vision Transformer;Efficient;Fine-tuning
Decision: Poster
Title: On Reinforcement Learning and Distribution Matching for Fine-Tuning Language Models with no Catastrophic Forgetting
Authors: Tomasz Korbak, Hady Elsahar, Germán Kruszewski, Marc Dymetman
Affiliations: Naver Labs Europe; Independent Researcher; University of Sussex
Conference: nips 2022 (main track)
Keywords: Reinforcement Learning;Language Models;Reward Maximization;Distribution Matching;Energy Based Models;Controlled Text Generation
Decision: Highlighted
Title: ConfounderGAN: Protecting Image Data Privacy with Causal Confounder
Authors: Qi Tian, Kun Kuang, Kelu Jiang, Furui Liu, Zhihua Wang, Fei Wu
Affiliations: Shanghai Institute for Advanced Study of Zhejiang University, Shanghai, China; College of Computer Science and Technology, Zhejiang University, Hangzhou, China; Huawei Noah’s Ark Lab, Beijing, China
Conference: nips 2022 (main track)
Keywords: data privacy;generative adversarial network;causal confounder
Decision: Poster