hunoutl/paperlists huggingface dataset:
Title: Sqrt(d) Dimension Dependence of Langevin Monte Carlo
Authors: Ruilin Li, Hongyuan Zha, Molei Tao
Affiliations: Georgia Institute of Technology; School of Data Science, Shenzhen Institute of Artiﬁcial Intelligence and Robotics for Society, The Chinese University of Hong Kong, Shenzhen
Conference: iclr 2022 (main track)
Keywords: unadjusted Langevin algorithm / Langevin Monte Carlo;non-asymptotic sampling error in Wasserstein-2 distance;optimal dimension dependence;mean square analysis
Decision: Poster
Title: Acceleration of Federated Learning with Alleviated Forgetting in Local Training
Authors: Chencheng Xu, Zhiwei Hong, Minlie Huang, Tao Jiang
Affiliations: Department of Computer Science and Technology, Tsinghua University, Beijing 100084, China; BNRIST, Tsinghua University, Beijing 100084, China; Department of Computer Science and Engineering, UCR, CA 92521, USA
Conference: iclr 2022 (main track)
Keywords: Federated learning;non-i.i.d. data
Decision: Poster
Title: Continuous-Time Meta-Learning with Forward Mode Differentiation
Authors: Tristan Deleu, David Kanaa, Leo Feng, Giancarlo Kerg, Yoshua Bengio, Guillaume Lajoie, Pierre-Luc Bacon
Affiliations: CIFAR Senior Fellow, Mila – Université de Montréal; Mila – Université de Montréal; CIFAR AI Chair, Mila – Université de Montréal
Conference: iclr 2022 (main track)
Keywords: meta-learning;few-shot learning;dynamical systems
Decision: Spotlight
Title: Resonance in Weight Space: Covariate Shift Can Drive Divergence of SGD with Momentum
Authors: Kirby Banman, Garnet Liam Peet-Pare, Nidhi Hegde, Alona Fyshe, Martha White
Affiliations: Department of Mathematical and Statistical Sciences, University of Alberta; Department of Computing Science, University of Alberta
Conference: iclr 2022 (main track)
Keywords: optimization;momentum;stochastic gradient descent;non-iid sampling
Decision: Poster
Title: switch-GLAT: Multilingual Parallel Machine Translation Via Code-Switch Decoder
Authors: Zhenqiao Song, Hao Zhou, Lihua Qian, Jingjing Xu, Shanbo Cheng, Mingxuan Wang, Lei Li
Affiliations: ByteDance AI Lab, Shanghai, China; University of California, Santa Barbara
Conference: iclr 2022 (main track)
Keywords: multilingual non-autoregressive machine translation;contextualized code-switching;back-translation
Decision: Poster
Title: Generative Modeling with Optimal Transport Maps
Authors: Litu Rout, Alexander Korotin, Evgeny Burnaev
Affiliations: Skolkovo Institute of Science and Technology, Artificial Intelligence Research Institute (AIRI); Space Applications Centre, Indian Space Research Organisation
Conference: iclr 2022 (main track)
Keywords: Optimal Transport Map;Generative Modeling;Unpaired Image Restoration
Decision: Poster
Title: Multiset-Equivariant Set Prediction with Approximate Implicit Differentiation
Authors: Yan Zhang, David Zhang, Simon Lacoste-Julien, Gertjan J Burghouts, Cees G Snoek
Affiliations: Mila, Universit é de Montreal; Samsung - SAIT AI Lab, Montreal; University of Amsterdam; TNO
Conference: iclr 2022 (main track)
Keywords: set prediction;permutation equivariance;implicit differentiation
Decision: Poster
Title: Adaptive Wavelet Transformer Network for 3D Shape Representation Learning
Authors: Hao Huang, Yi Fang
Affiliations: NYU Multimedia and Visual Computing Lab, USA; NYU Tandon School of Engineering, New York University, USA; NYUAD Center for Artificial Intelligence and Robotics (CAIR), Abu Dhabi, UAE; New York University Abu Dhabi, UAE
Conference: iclr 2022 (main track)
Decision: Poster
Title: The Convex Geometry of Backpropagation: Neural Network Gradient Flows Converge to Extreme Points of the Dual Convex Program
Authors: Yifei Wang, Mert Pilanci
Affiliations: Department of Electrical Engineering, Stanford University, Stanford, CA 94305, USA
Conference: iclr 2022 (main track)
Keywords: Two-layer ReLU networks;convex optimization;convex duality;gradient flow
Decision: Poster
Title: On the role of population heterogeneity in emergent communication
Authors: Mathieu Rita, Florian Strub, Jean-Bastien Grill, Olivier Pietquin, Emmanuel Dupoux
Affiliations: DeepMind; EHESS, ENS-PSL, CNRS, INRIA, Meta AI Research; Google Research, Brain Team; INRIA, Paris
Conference: iclr 2022 (main track)
Decision: Poster
Title: Learning by Directional Gradient Descent
Authors: David Silver, Anirudh Goyal, Ivo Danihelka, Matteo Hessel, Hado van Hasselt
Affiliations: Mila, University of Montreal; DeepMind, London, UK
Conference: iclr 2022 (main track)
Keywords: credit assignment;directional derivative;recurrent networks
Decision: Poster
Title: IGLU: Efficient GCN Training via Lazy Updates
Authors: S Deepak Narayanan, Aditya Sinha, Prateek Jain, Purushottam Kar, SUNDARARAJAN SELLAMANICKAM
Affiliations: Microsoft Research India; IIT Kanpur & Microsoft Research India
Conference: iclr 2022 (main track)
Keywords: Graph convolutional networks;Graph neural networks;Optimization;Lazy updates
Decision: Poster
Title: BiBERT: Accurate Fully Binarized BERT
Authors: Haotong Qin, Yifu Ding, Mingyuan Zhang, Qinghua YAN, Aishan Liu, Qingqing Dang, Ziwei Liu, Xianglong Liu
Affiliations: State Key Lab of Software Development Environment, Beihang University; Shen Yuan Honors College, Beihang University; Baidu Inc.; S-Lab, Nanyang Technological University; State Key Lab of Software Development Environment, Beihang University
Conference: iclr 2022 (main track)
Keywords: Network Binarization;Model Compression;BERT;NLP
Decision: Poster
Title: HyAR: Addressing Discrete-Continuous Action Reinforcement Learning via Hybrid Action Representation
Authors: Boyan Li, Hongyao Tang, YAN ZHENG, Jianye HAO, Pengyi Li, Zhen Wang, Zhaopeng Meng, LI Wang
Affiliations: School of Artiﬁcial Intelligence, Optics and Electronics (iOPEN) and School of Cybersecurity, Northwestern Polytechnical University; College of Intelligence and Computing, Tianjin University
Conference: iclr 2022 (main track)
Decision: Poster
Title: Offline Reinforcement Learning with Implicit Q-Learning
Authors: Ilya Kostrikov, Ashvin Nair, Sergey Levine
Affiliations: Department of Electrical Engineering and Computer Science, University of California, Berkeley
Conference: iclr 2022 (main track)
Keywords: Deep Reinforcement Learning;Offline Reinforcement Learning;Batch Reinforcement Learning;Continuous Control
Decision: Poster
Title: Uncertainty Modeling for Out-of-Distribution Generalization
Authors: Xiaotong Li, Yongxing Dai, Yixiao Ge, Jun Liu, Ying Shan, LINGYU DUAN
Affiliations: Singapore University of Technology and Design, Singapore; ARC Lab, Tencent PCG; Peking University, Beijing, China and Peng Cheng Laboratory, Shenzhen, China; Peking University, Beijing, China
Conference: iclr 2022 (main track)
Keywords: domain generalization;uncertainty modeling
Decision: Poster
Title: CADDA: Class-wise Automatic Differentiable Data Augmentation for EEG Signals
Authors: Cédric Rommel, Thomas Moreau, Joseph Paillard, Alexandre Gramfort
Affiliations: Université Paris-Saclay, Inria, CEA, Palaiseau, 91120, France
Conference: iclr 2022 (main track)
Keywords: Neuroscience;EEG;Sleep staging;Automatic data augmentation
Decision: Poster
Title: When Can We Learn General-Sum Markov Games with a Large Number of Players Sample-Efficiently?
Authors: Ziang Song, Song Mei, Yu Bai
Affiliations: School of Mathematical Sciences, Peking University; Salesforce Research; Department of Statistics, UC Berkeley
Conference: iclr 2022 (main track)
Keywords: reinforcement learning theory;multi-agent RL;Markov games;general-sum games
Decision: Poster
Title: Goal-Directed Planning via Hindsight Experience Replay
Authors: Lorenzo Moro, Amarildo Likmeta, Enrico Prati, Marcello Restelli
Affiliations: DEIB, Politecnico di Milano, Milan, Italy; CNR-IFN, Milan, Italy; FABIT, Universita di Bologna, Bologna, Italy
Conference: iclr 2022 (main track)
Keywords: Reinforcement Learning;Goal-Directed Planning;Monte Carlo Tree Search
Decision: Poster
Title: Exposing the Implicit Energy Networks behind Masked Language Models via Metropolis--Hastings
Authors: Kartik Goyal, Chris Dyer, Taylor Berg-Kirkpatrick
Affiliations: Deepmind; Carnegie Mellon University; UC San Diego
Conference: iclr 2022 (main track)
Keywords: Masked Language Models;Energy-based models;Metropolis Hastings Monte Carlo;Bidirectional Sequence models
Decision: Poster
Title: Pseudo-Labeled Auto-Curriculum Learning for Semi-Supervised Keypoint Localization
Authors: Can Wang, Sheng Jin, Yingda Guan, Wentao Liu, Chen Qian, Ping Luo, Wanli Ouyang
Affiliations: The University of Hong Kong; SenseTime Research and Tetras.AI; The University of Sydney
Conference: iclr 2022 (main track)
Keywords: Keypoint Localization;Semi-Supervised Learning;Curriculum Learning
Decision: Poster
Title: Demystifying Batch Normalization in ReLU Networks: Equivalent Convex Optimization Models and Implicit Regularization
Authors: Tolga Ergen, Arda Sahiner, Batu Ozturkler, John M Pauly, Morteza Mardani, Mert Pilanci
Affiliations: Department of Electrical Engineering, Stanford University, Stanford, CA 94305, USA
Conference: iclr 2022 (main track)
Keywords: batch normalization;ReLU networks;deep networks;convex optimization;whitening;implicit regularization;algorithmic bias
Decision: Poster
Title: Few-shot Learning via Dirichlet Tessellation Ensemble
Authors: Chunwei Ma, Ziyun Huang, Mingchen Gao, Jinhui Xu
Affiliations: Computer Science and Software Engineering, Penn State Erie; Department of Computer Science and Engineering, University at Buffalo
Conference: iclr 2022 (main track)
Keywords: Few-shot Learning;Computational Geometry;Dirichlet Tessellation;Voronoi Diagram;Ensemble Learning
Decision: Poster
Title: Chemical-Reaction-Aware Molecule Representation Learning
Authors: Hongwei Wang, Weijiang Li, Xiaomeng Jin, Kyunghyun Cho, Heng Ji, Jiawei Han, Martin Burke
Affiliations: University of Illinois Urbana-Champaign; New York University, Genentech
Conference: iclr 2022 (main track)
Keywords: molecule representation learning;graph neural networks;chemical reaction
Decision: Poster
Title: Revisiting flow generative models for Out-of-distribution detection
Authors: Dihong Jiang, Sun Sun, Yaoliang Yu
Affiliations: School of Computer Science, University of Waterloo, National Research Council; School of Computer Science, University of Waterloo, Vector Institute
Conference: iclr 2022 (main track)
Keywords: flow models;out-of-distribution detection;random projection;distribution comparison
Decision: Poster
Title: On Non-Random Missing Labels in Semi-Supervised Learning
Authors: Xinting Hu, Yulei Niu, Chunyan Miao, Xian-Sheng Hua, Hanwang Zhang
Affiliations: Nanyang Technological University; Damo Academy, Alibaba Group
Conference: iclr 2022 (main track)
Keywords: Semi-Supervised Learning;Missing Not At Random;Image Classification
Decision: Poster
Title: QUERY EFFICIENT DECISION BASED SPARSE ATTACKS AGAINST BLACK-BOX DEEP LEARNING MODELS
Authors: Viet Vo, Ehsan Abbasnejad, Damith Ranasinghe
Affiliations: The University Of Adelaide
Conference: iclr 2022 (main track)
Keywords: decision-based attacks;sparse attacks;evolution algorithms;vision transformer;convolutional neural network
Decision: Poster
Title: Evolutionary Diversity Optimization with Clustering-based Selection for Reinforcement Learning
Authors: Yutong Wang, Ke Xue, Chao Qian
Affiliations: State Key Laboratory for Novel Software Technology, Nanjing University, Nanjing 210023, China
Conference: iclr 2022 (main track)
Keywords: Reinforcement learning;Quality-Diversity;Evolutionary algorithms
Decision: Poster
Title: Optimal ANN-SNN Conversion for High-accuracy and Ultra-low-latency Spiking Neural Networks
Authors: Tong Bu, Wei Fang, Jianhao Ding, PENGLIN DAI, Zhaofei Yu, Tiejun Huang
Affiliations: Southwest Jiaotong University; Peking University
Conference: iclr 2022 (main track)
Keywords: Spiking Neural Networks;ANN-SNN Conversion;Ultra-low Latency;Quantization Clip-floor-shift Activation
Decision: Poster
Title: Neural Markov Controlled SDE: Stochastic Optimization for Continuous-Time Data
Authors: Sung Woo Park, Kyungjae Lee, Junseok Kwon
Affiliations: Artificial Intelligence Graduate School, Chung-Ang University, Korea; School of Computer Science and Engineering, Chung-Ang University, Korea; School of Computer Science and Engineering, Chung-Ang University, Korea; Artificial Intelligence Graduate School, Chung-Ang University, Korea
Conference: iclr 2022 (main track)
Keywords: controlled stochastic differential equation;time-series prediction
Decision: Poster
Title: $\mathrm{SO}(2)$-Equivariant Reinforcement Learning
Authors: Dian Wang, Robin Walters, Robert Platt
Affiliations: Khoury College of Computer Sciences, Northeastern University, Boston, MA 02115, USA
Conference: iclr 2022 (main track)
Keywords: Reinforcement Learning;Equivariance;Robotic Manipulation
Decision: Spotlight
Title: Transfer RL across Observation Feature Spaces via Model-Based Regularization
Authors: Yanchao Sun, Ruijie Zheng, Xiyao Wang, Andrew Cohen, Furong Huang
Affiliations: University of Maryland, College Park; Unity Technologies
Conference: iclr 2022 (main track)
Keywords: transfer reinforcement learning;representation learning;observation space change;latent dynamics model
Decision: Poster
Title: Conditional Image Generation by Conditioning Variational Auto-Encoders
Authors: William Harvey, Saeid Naderiparizi, Frank Wood
Affiliations: Department of Computer Science, University of British Columbia, Vancouver, Canada; Department of Computer Science, University of British Columbia, Vancouver, Canada; Montr´eal Institute for Learning Algorithms (Mila) and Inverted AI
Conference: iclr 2022 (main track)
Keywords: variational auto-encoders;Bayesian inference;variational inference;amortized inference;image completion
Decision: Poster
Title: Energy-Inspired Molecular Conformation Optimization
Authors: Jiaqi Guan, Wei Qian, Qiang Liu, Wei-Ying Ma, Jianzhu Ma, Jian Peng
Affiliations: AIR, Tsinghua University; University of Texas at Austin; University of Illinois at Urbana-Champaign, AIR, Tsinghua University, HeliXon Limited; Peking University, Beijing Institute for General Artiﬁcial Intelligence; University of Illinois at Urbana-Champaign
Conference: iclr 2022 (main track)
Decision: Poster
Title: Collapse by Conditioning: Training Class-conditional GANs with Limited Data
Authors: Mohamad Shahbazi, Martin Danelljan, Danda Paudel, Luc Van Gool
Affiliations: Computer Vision Lab (CVL), ETH Zurich, Switzerland
Conference: iclr 2022 (main track)
Keywords: Generative Adversarial Network;GAN;Conditional GAN;limited data
Decision: Poster
Title: Understanding over-squashing and bottlenecks on graphs via curvature
Authors: Jake Topping, Francesco Di Giovanni, Benjamin Chamberlain, Xiaowen Dong, Michael Bronstein
Affiliations: Twitter; University of Oxford; Imperial College London
Conference: iclr 2022 (main track)
Keywords: Graph neural networks;Geometric deep learning;Differential geometry;Ricci curvature
Decision: Oral
Title: The Effects of Invertibility on the Representational Complexity of Encoders in Variational Autoencoders
Authors: Divyansh Pareek, Andrej Risteski
Affiliations: Machine Learning Department, Carnegie Mellon University, Pittsburgh, PA, 15213
Conference: iclr 2022 (main track)
Keywords: variational autoencoders;encoder;representational complexity;Langevin;invertibility;deep learning theory
Decision: Poster
Title: Variational Neural Cellular Automata
Authors: Rasmus Berg Palm, Miguel Gonzalez-Duque, Shyam Sudhakaran, Sebastian Risi
Affiliations: ; Creative AI Lab, IT University of Copenhagen, Copenhagen, Denmark
Conference: iclr 2022 (main track)
Keywords: Neural Cellular Automata;Cellular Automata;Self-Organization;Generative Models
Decision: Poster
Title: Exploring Memorization in Adversarial Training
Authors: Yinpeng Dong, Ke Xu, Xiao Yang, Tianyu Pang, Zhijie Deng, Hang Su, Jun Zhu
Affiliations: Dept. of Comp. Sci. and Tech., Institute for AI, Tsinghua-Bosch Joint ML Center, THBI Lab, BNRist Center, Tsinghua University, Beijing, China; RealAI; Peng Cheng Laboratory; Dept. of Comp. Sci. and Tech., Institute for AI, Tsinghua-Bosch Joint ML Center, THBI Lab, BNRist Center, Tsinghua University, Beijing, China; RealAI; Dept. of Comp. Sci. and Tech., Institute for AI, Tsinghua-Bosch Joint ML Center, THBI Lab, BNRist Center, Tsinghua University, Beijing, China; Peng Cheng Laboratory; Dept. of Comp. Sci. and Tech., Institute for AI, Tsinghua-Bosch Joint ML Center, THBI Lab, BNRist Center, Tsinghua University, Beijing, China; Dept. of Comp. Sci. and Tech., Institute for AI, Tsinghua-Bosch Joint ML Center, THBI Lab, BNRist Center, Tsinghua University, Beijing, China; CMU
Conference: iclr 2022 (main track)
Keywords: Adversarial examples;adversarial training;memorization;robust overfitting
Decision: Poster
Title: Learning Neural Contextual Bandits through Perturbed Rewards
Authors: Yiling Jia, Weitong ZHANG, Dongruo Zhou, Quanquan Gu, Hongning Wang
Affiliations: Department of Computer Science, University of Virginia; Department of Computer Science, University of California, Los Angeles
Conference: iclr 2022 (main track)
Keywords: contextual bandit;neural bandit
Decision: Poster
Title: Latent Image Animator: Learning to Animate Images via Latent Space Navigation
Authors: Yaohui Wang, Di Yang, Francois Bremond, Antitza Dantcheva
Affiliations: Inria, Universit ´e Cˆote d’Azur
Conference: iclr 2022 (main track)
Keywords: Video generation;Generative Adversarial Network
Decision: Poster
Title: Learning Causal Models from Conditional Moment Restrictions by Importance Weighting
Authors: Masahiro Kato, Masaaki Imaizumi, Kenichiro McAlinn, Shota Yasui, Haruo Kakehi
Affiliations: Temple University; The University of Tokyo; AI Lab, CyberAgent, Inc.
Conference: iclr 2022 (main track)
Keywords: Causal inference;Conditional moment restrictions
Decision: Spotlight
Title: VC dimension of partially quantized neural networks in the overparametrized regime
Authors: Yutong Wang, Clayton Scott
Affiliations: Department of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, MI 48109, USA; Department of Electrical Engineering and Computer Science, Department of Statistics, University of Michigan, Ann Arbor, MI 48109, USA
Conference: iclr 2022 (main track)
Keywords: VC dimension;quantized neural networks;classification;minimax theory;overparametrization
Decision: Poster
Title: On-Policy Model Errors in Reinforcement Learning
Authors: Lukas Fröhlich, Maksym Lefarov, Melanie Zeilinger, Felix Berkenkamp
Affiliations: Bosch Center for Artiﬁcial Intelligence, Renningen, Germany; Institute for Dynamic Systems and Control, ETH Zürich, Zurich, Switzerland
Conference: iclr 2022 (main track)
Keywords: Model-based reinforcement learning;reinforcement learning;model learning
Decision: Poster
Title: Evidential Turing Processes
Authors: Melih Kandemir, Abdullah Akgül, Manuel Haussmann, Gozde Unal
Affiliations: Department of Computer Engineering, Istanbul Technical University, Istanbul, Turkey; Department of Computer Science, Aalto University, Espoo, Finland; Dept of Math and Computer Science, University of Southern Denmark, Odense, Denmark
Conference: iclr 2022 (main track)
Keywords: Evidential Deep Learning;Neural Processes;Attention;Neural Turing Machines
Decision: Poster
Title: CKConv: Continuous Kernel Convolution For Sequential Data
Authors: David W. Romero, Anna Kuzina, Erik Bekkers, Jakub Tomczak, Mark Hoogendoorn
Affiliations: Vrije Universiteit Amsterdam; University of Amsterdam
Conference: iclr 2022 (main track)
Keywords: Convolutional Networks;Continuous kernel Convolutions;Continuous Convolutional Kernels;Implicit Neural Representations;Sequential Data.
Decision: Poster
Title: AdaRL: What, Where, and How to Adapt in Transfer Reinforcement Learning
Authors: Biwei Huang, Fan Feng, Chaochao Lu, Sara Magliacane, Kun Zhang
Affiliations: University of Amsterdam & MIT-IBM Watson AI Lab; University of Cambridge & Max Planck Institute for Intelligent Systems; Carnegie Mellon University; City University of Hong Kong; Carnegie Mellon University & Mohamed bin Zayed University of Artificial Intelligence
Conference: iclr 2022 (main track)
Keywords: Transfer RL;Graphical models;Efficient adaptation
Decision: Spotlight
Title: Diffusion-Based Voice Conversion with Fast Maximum Likelihood Sampling Scheme
Authors: Vadim Popov, Ivan Vovk, Vladimir Gogoryan, Tasnima Sadekova, Mikhail Kudinov, Jiansheng Wei
Affiliations: Huawei Noah’s Ark Lab, Moscow, Russia
Conference: iclr 2022 (main track)
Keywords: speech;voice conversion;diffusion models;stochastic differential equations
Decision: Oral
Title: The Role of Pretrained Representations for the OOD Generalization of RL Agents
Authors: Frederik Träuble, Andrea Dittadi, Manuel Wuthrich, Felix Widmaier, Peter Gehler, Ole Winther, Francesco Locatello, Olivier Bachem, Bernhard Schoelkopf, Stefan Bauer
Affiliations: Amazon Lablets; KTH Stockholm; Technical University of Denmark; Max Planck Institute for Intelligent Systems, Tübingen, Germany; Google Brain
Conference: iclr 2022 (main track)
Keywords: representations;out-of-distribution;generalization;deep learning;reinforcement learning
Decision: Poster
Title: Discrete Representations Strengthen Vision Transformer Robustness
Authors: Chengzhi Mao, Lu Jiang, Mostafa Dehghani, Carl Vondrick, Rahul Sukthankar, Irfan Essa
Affiliations: School of Interactive Computing, Georgia Insitute of Technology; Computer Science, Columbia University; Google Research
Conference: iclr 2022 (main track)
Keywords: vision transformer;robustness;image recognition
Decision: Poster
Title: Triangle and Four Cycle Counting with Predictions in Graph Streams
Authors: Justin Chen, Talya Eden, Piotr Indyk, Honghao Lin, Shyam Narayanan, Ronitt Rubinfeld, Sandeep Silwal, Tal Wagner, David Woodruff, Michael Zhang
Affiliations: Computer Science and Artiﬁcial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA 02139, USA; Computer Science Department, Carnegie Mellon University, Pittsburgh, PA 15213, USA; Microsoft Research, Redmond, WA 98052, USA; Massachusetts Institute of Technology and Boston University, Cambridge, MA 02139, USA
Conference: iclr 2022 (main track)
Keywords: learning augmented;streaming;graph streaming;data driven;cycle counting;triangle counting
Decision: Poster
Title: Givens Coordinate Descent Methods for Rotation Matrix Learning in Trainable Embedding Indexes
Authors: Yunjiang Jiang, Han Zhang, Yiming Qiu, Yun Xiao, Bo Long, Wen-Yun Yang
Affiliations: JD.com, Mountain View, CA, United States & Beijing, China
Conference: iclr 2022 (main track)
Keywords: Search index;Product quantization;Block coordinate descent
Decision: Poster
Title: Representational Continuity for Unsupervised Continual Learning
Authors: Divyam Madaan, Jaehong Yoon, Yuanchun Li, Yunxin Liu, Sung Ju Hwang
Affiliations: New York University; KAIST; Institute for AI Industry Research (AIR), Tsinghua University; KAIST, AITRICS
Conference: iclr 2022 (main track)
Keywords: Continual Learning;Representational Learning;Deep Learning
Decision: Oral
Title: Adversarially Robust Conformal Prediction
Authors: Asaf Gendler, Tsui-Wei Weng, Luca Daniel, Yaniv Romano
Affiliations: Department of Electrical and Computer Engineering, Technion - Israel Institute of Technology; Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology
Conference: iclr 2022 (main track)
Keywords: Conformal Prediction;Adversarial Robustness;Randomized Smoothing;Uncertainty Estimation;Calibration
Decision: Poster
Title: Distributionally Robust Fair Principal Components via Geodesic Descents
Authors: Hieu Vu, Toan Tran, Man-Chung Yue, Viet Anh Nguyen
Affiliations: VinAI Research, Vietnam; Hong Kong Polytechnic University
Conference: iclr 2022 (main track)
Keywords: fair principal component analysis;distributionally robust optimization;manifold optimization
Decision: Poster
Title: Visual Representation Learning Does Not Generalize Strongly Within the Same Domain
Authors: Lukas Schott, Julius von Kuegelgen, Frederik Träuble, Peter Gehler, Chris Russell, Matthias Bethge, Bernhard Schoelkopf, Francesco Locatello, Wieland Brendel
Affiliations: Amazon Web Services; Max Planck Institute for Intelligent Systems, Tübingen; University of Tübingen
Conference: iclr 2022 (main track)
Keywords: Generalization;Composition;Out of distribution;Disentanglement
Decision: Poster