hunoutl/paperlists huggingface dataset:
Title: Supervision Complexity and its Role in Knowledge Distillation
Authors: Hrayr Harutyunyan, Ankit Singh Rawat, Aditya Krishna Menon, Seungyeon Kim, Sanjiv Kumar
Affiliations: Google Research NYC; USC Information Sciences Institute
Conference: iclr 2023 (main track)
Keywords: distillation;kernel methods;neural tangent kernel
Decision: Poster
Title: Combinatorial-Probabilistic Trade-Off: P-Values of Community Properties Test in the Stochastic Block Models
Authors: Shuting Shen, Junwei Lu
Affiliations: Department of Biostatistics, Harvard T.H. Chan School of Public Health
Conference: iclr 2023 (main track)
Keywords: combinatorial inference;stochastic block models;community properties;minimax lower bound
Decision: Top-25%
Title: Linearly Mapping from Image to Text Space
Authors: Jack Merullo, Louis Castricato, Carsten Eickhoff, Ellie Pavlick
Affiliations: Department of Computer Science, Brown University, Providence, RI, USA
Conference: iclr 2023 (main track)
Keywords: representation learning;deep learning;grounded language learning;nlp;dl;image;image captioning;language grounding;grounded
Decision: Poster
Title: Self-supervised learning with rotation-invariant kernels
Authors: Léon Zheng, Gilles Puy, Elisa Riccietti, Patrick Perez, Rémi Gribonval
Affiliations: valeo.ai, Paris, France; Univ Lyon, EnsL, UCBL, CNRS, Inria, LIP, F-69342, LYON Cedex 07, France
Conference: iclr 2023 (main track)
Keywords: Self-supervised learning;maximum mean discrepancy;rotation-invariant kernel;hypersphere
Decision: Top-25%
Title: Trainable Weight Averaging: Efficient Training by Optimizing Historical Solutions
Authors: Tao Li, Zhehao Huang, Qinghua Tao, Yingwen Wu, Xiaolin Huang
Affiliations: Department of Automation, Shanghai Jiao Tong University; ESAT-STADIUS, KU Leuven
Conference: iclr 2023 (main track)
Keywords: efficient training;weight averaging;optimization
Decision: Poster
Title: Masked Frequency Modeling for Self-Supervised Visual Pre-Training
Authors: Jiahao Xie, Wei Li, Xiaohang Zhan, Ziwei Liu, Yew-Soon Ong, Chen Change Loy
Affiliations: SCSE, NTU and A*STAR, Singapore; S-Lab, NTU and SCSE, NTU; CUHK
Conference: iclr 2023 (main track)
Keywords: unsupervised learning;self-supervised learning;representation learning;masked frequency modeling
Decision: Poster
Title: Large Language Models are Human-Level Prompt Engineers
Authors: Yongchao Zhou, Andrei Muresanu, Ziwen Han, Keiran Paster, Silviu Pitis, Harris Chan, Jimmy Ba
Affiliations: University of Toronto, University of Waterloo; University of Toronto, Vector Institute
Conference: iclr 2023 (main track)
Keywords: few-shot learning;automated reasoning;large language models
Decision: Poster
Title: Prompting GPT-3 To Be Reliable
Authors: Chenglei Si, Zhe Gan, Zhengyuan Yang, Shuohang Wang, Jianfeng Wang, Jordan Boyd-Graber, Lijuan Wang
Affiliations: University of Maryland; Microsoft
Conference: iclr 2023 (main track)
Keywords: prompting;GPT-3;large language models;reliability;robustness;biases;calibration;knowledge updating
Decision: Poster
Title: Generalization and Estimation Error Bounds for Model-based Neural Networks
Authors: Avner Shultzman, Eyar Azar, Miguel Rodrigues, Yonina Eldar
Affiliations: Faculty of Mathematics and Computer Science, Weizmann Institute of Science, Israel; Faculty of Engineering Science, University College London, UK
Conference: iclr 2023 (main track)
Keywords: Model based neural networks;Generalization error;Estimation error;Local Rademacher complexity.
Decision: Poster
Title: Deconstructing Distributions: A Pointwise Framework of Learning
Authors: Gal Kaplun, Nikhil Ghosh, Saurabh Garg, Boaz Barak, Preetum Nakkiran
Affiliations: Harvard; UC San Diego; Carnegie Mellon University; UC Berkeley
Conference: iclr 2023 (main track)
Keywords: understanding deep learning;empirical investigation;distribution shift
Decision: Poster
Title: Finding the Global Semantic Representation in GAN through Fréchet Mean
Authors: Jaewoong Choi, Geonho Hwang, Hyunsoo Cho, Myungjoo Kang
Affiliations: Seoul National University; Korea Institute for Advanced Study
Conference: iclr 2023 (main track)
Keywords: generative adversarial network;disentanglement;semantic factorization
Decision: Poster
Title: Link Prediction with Non-Contrastive Learning
Authors: William Shiao, Zhichun Guo, Tong Zhao, Evangelos Papalexakis, Yozen Liu, Neil Shah
Affiliations: University of California, Riverside; Snap Inc.; University of Notre Dame
Conference: iclr 2023 (main track)
Keywords: graph learning;graph neural networks;non-contrastive learning;link prediction
Decision: Poster
Title: Self-Ensemble Protection: Training Checkpoints Are Good Data Protectors
Authors: Sizhe Chen, Geng Yuan, Xinwen Cheng, Yifan Gong, Minghai Qin, Yanzhi Wang, Xiaolin Huang
Affiliations: Department of Automation, Shanghai Jiao Tong University; Department of Electrical and Computer Engineering, Northeastern University
Conference: iclr 2023 (main track)
Keywords: data protection;poisoning attack;self-ensemble;deep neural network
Decision: Poster
Title: AE-FLOW: Autoencoders with Normalizing Flows for Medical Images Anomaly Detection
Authors: Yuzhong Zhao, Qiaoqiao Ding, Xiaoqun Zhang
Affiliations: School of Mathematical Sciences, MOE-LSC and Institute of Natural Sciences, Shanghai Jiao Tong University
Conference: iclr 2023 (main track)
Keywords: Anomaly Detection;Normalizing Flow;Auto-encoder.
Decision: Poster
Title: Disentanglement with Biological Constraints: A Theory of Functional Cell Types
Authors: James Whittington, Will Dorrell, Surya Ganguli, Timothy Behrens
Affiliations: UCL; Stanford; Stanford & Oxford; UCL & Oxford
Conference: iclr 2023 (main track)
Keywords: Disentangling;neurosciece;representation learning;hippocampus;cortex
Decision: Top-25%
Title: Symmetries, Flat Minima, and the Conserved Quantities of Gradient Flow
Authors: Bo Zhao, Iordan Ganev, Robin Walters, Rose Yu, Nima Dehmamy
Affiliations: Radboud University; Northeastern University; IBM Research; University of California, San Diego
Conference: iclr 2023 (main track)
Keywords: symmetry;gradient flow;conserved quantity;flat minima;Lie group;Lie algebra
Decision: Poster
Title: FiT: Parameter Efficient Few-shot Transfer Learning for Personalized and Federated Image Classification
Authors: Aliaksandra Shysheya, John Bronskill, Massimiliano Patacchiola, Sebastian Nowozin, Richard E Turner
Affiliations: University of Cambridge; Microsoft Research
Conference: iclr 2023 (main track)
Keywords: few-shot learning;transfer learning;federated learning
Decision: Poster
Title: NeRN: Learning Neural Representations for Neural Networks
Authors: Maor Ashkenazi, Zohar Rimon, Ron Vainshtein, Shir Levi, Elad Richardson, Pinchas Mintz, Eran Treister
Affiliations: Technion - Israel Institute of Technology; Penta-AI; Ben-Gurion University of the Negev
Conference: iclr 2023 (main track)
Keywords: Convolutional Neural Networks;Neural Representations;Implicit Representations
Decision: Top-25%
Title: Optimistic Exploration with Learned Features Provably Solves Markov Decision Processes with Neural Dynamics
Authors: Sirui Zheng, Lingxiao Wang, Shuang Qiu, Zuyue Fu, Zhuoran Yang, Csaba Szepesvari, Zhaoran Wang
Affiliations: University of Chicago; Northwestern University; Yale University; University of Alberta
Conference: iclr 2023 (main track)
Keywords: Reinforcement Learning;Neural Network;Representation Learning.
Decision: Poster
Title: Explicitly Minimizing the Blur Error of Variational Autoencoders
Authors: Gustav Bredell, Kyriakos Flouris, Krishna Chaitanya, Ertunc Erdil, Ender Konukoglu
Affiliations: Department of Information Technology and Electrical Engineering, ETH Zurich
Conference: iclr 2023 (main track)
Keywords: Variational Autoencoders;Generative Modelling;Blur
Decision: Poster
Title: SMART: Self-supervised Multi-task pretrAining with contRol Transformers
Authors: Yanchao Sun, shuang ma, Ratnesh Madaan, Rogerio Bonatti, Furong Huang, Ashish Kapoor
Affiliations: University of Maryland, College Park; Microsoft Redmond, WA
Conference: iclr 2023 (main track)
Keywords: pretrain;transformer;multi-task reinforcement learning;sequential decision making;self-supervised
Decision: Top-25%
Title: Sample Complexity of Nonparametric Off-Policy Evaluation on Low-Dimensional Manifolds using Deep Networks
Authors: Xiang Ji, Minshuo Chen, Mengdi Wang, Tuo Zhao
Affiliations: Princeton University; Georgia Institute of Technology
Conference: iclr 2023 (main track)
Keywords: RL theory;deep off-policy evaluation;neural network function approximation;manifold data
Decision: Poster
Title: Hidden Markov Transformer for Simultaneous Machine Translation
Authors: Shaolei Zhang, Yang Feng
Affiliations: Key Laboratory of Intelligent Information Processing, Institute of Computing Technology, Chinese Academy of Sciences (ICT/CAS) and University of Chinese Academy of Sciences, Beijing, China
Conference: iclr 2023 (main track)
Keywords: Simultaneous machine translation;Machine translation;Natural language processing;Transformer
Decision: Top-25%
Title: Contextual Image Masking Modeling via Synergized Contrasting without View Augmentation for Faster and Better Visual Pretraining
Authors: Shaofeng Zhang, Feng Zhu, Rui Zhao, Junchi Yan
Affiliations: SenseTime Group Limited; Shanghai AI Laboratory; MoE Key Lab of Artificial Intelligence, Shanghai Jiao Tong University
Conference: iclr 2023 (main track)
Keywords: Mask Image Modeling;Self-supervised learning
Decision: Poster
Title: Panning for Gold in Federated Learning: Targeted Text Extraction under Arbitrarily Large-Scale Aggregation
Authors: Hong-Min Chu, Jonas Geiping, Liam H Fowl, Micah Goldblum, Tom Goldstein
Affiliations: New York University; University of Maryland
Conference: iclr 2023 (main track)
Keywords: Federated Learning;Privacy;Security;Privacy attack
Decision: Poster
Title: Interactive Portrait Harmonization
Authors: Jeya Maria Jose Valanarasu, HE Zhang, Jianming Zhang, Yilin Wang, Zhe Lin, Jose Echevarria, Yinglan Ma, Zijun Wei, Kalyan Sunkavalli, Vishal Patel
Affiliations: Johns Hopkins University; Adobe Research
Conference: iclr 2023 (main track)
Keywords: harmonization;image editing;low-level vision
Decision: Poster
Title: Surgical Fine-Tuning Improves Adaptation to Distribution Shifts
Authors: Yoonho Lee, Annie Chen, Fahim Tajwar, Ananya Kumar, Huaxiu Yao, Percy Liang, Chelsea Finn
Affiliations: Stanford University
Conference: iclr 2023 (main track)
Keywords: Transfer learning;fine-tuning;parameter freezing;distortion of pre-trained models
Decision: Poster
Title: Enhancing the Inductive Biases of Graph Neural ODE for Modeling Physical Systems
Authors: Suresh Bishnoi, Ravinder Bhattoo, Jayadeva Jayadeva, Sayan Ranu, N. M. Anoop Krishnan
Affiliations: Indian Institute of Technology Delhi, Hauz Khas, New Delhi, India 110016
Conference: iclr 2023 (main track)
Keywords: Neural ODE;Graph neural network;physical systems;Graph Neural ODE
Decision: Poster
Title: Hyper-Decision Transformer for Efficient Online Policy Adaptation
Authors: Mengdi Xu, Yuchen Lu, Yikang Shen, Shun Zhang, DING ZHAO, Chuang Gan
Affiliations: MIT-IBM Watson AI Lab, UMass Amherst; University of Montreal, Mila; MIT-IBM Watson AI Lab; Carnegie Mellon University
Conference: iclr 2023 (main track)
Keywords: Offline Reinforcement Learning;One-shot Imitation Learning;Parameter-efficient Fine-tuning
Decision: Poster
Title: VoGE: A Differentiable Volume Renderer using Gaussian Ellipsoids for Analysis-by-Synthesis
Authors: Angtian Wang, Peng Wang, Jian Sun, Adam Kortylewski, Alan Yuille
Affiliations: Max Planck Institute for Informatics; ByteDance Inc.; Johns Hopkins University
Conference: iclr 2023 (main track)
Keywords: Differentiable Rendering;Analysis-by-Synthesis;Pose Estimation
Decision: Poster
Title: Contrastive Learning Can Find An Optimal Basis For Approximately View-Invariant Functions
Authors: Daniel D Johnson, Ayoub El Hanchi, Chris Maddison
Affiliations: University of Toronto, Google Research; University of Toronto
Conference: iclr 2023 (main track)
Keywords: contrastive learning;self-supervised learning;representation learning;kernel;kernel PCA;positive definite;eigenfunction;spectral clustering;invariance;Markov chain;minimax optimal
Decision: Poster
Title: Stateful Active Facilitator: Coordination and Environmental Heterogeneity in Cooperative Multi-Agent Reinforcement Learning
Authors: Dianbo Liu, Vedant Shah, Oussama Boussif, Cristian Meo, Anirudh Goyal, Tianmin Shu, Michael Mozer, Nicolas Heess, Yoshua Bengio
Conference: iclr 2023 (main track)
Decision: Poster
Title: Continuous PDE Dynamics Forecasting with Implicit Neural Representations
Authors: Yuan Yin, Matthieu Kirchmeyer, Jean-Yves Franceschi, alain rakotomamonjy, patrick gallinari
Conference: iclr 2023 (main track)
Keywords: spatiotemporal forecasting;Partial Differential Equations;PDEs;Implicit Neural Representations;INRs;continuous models;generalization;dynamical systems;physics
Decision: Top-25%
Title: Jointly Learning Visual and Auditory Speech Representations from Raw Data
Authors: Alexandros Haliassos, Pingchuan Ma, Rodrigo Mira, Stavros Petridis, Maja Pantic
Affiliations: Imperial College London, Meta AI; Imperial College London
Conference: iclr 2023 (main track)
Keywords: self-supervised learning;lipreading;speech recognition
Decision: Poster
Title: Explaining Temporal Graph Models through an Explorer-Navigator Framework
Authors: Wenwen Xia, Mincai Lai, Caihua Shan, Yao Zhang, Xinnan Dai, Xiang Li, Dongsheng Li
Affiliations: Microsoft Research Asia; Fudan University; ShanghaiTech University; East China Normal University; Shanghai Jiao Tong University
Conference: iclr 2023 (main track)
Keywords: graph neural networks;gnn explainers;temporal graphs
Decision: Poster
Title: FedFA: Federated Learning with Feature Alignment for Heterogeneous Data
Affiliations: The Hong Kong University of Science and Technology, Hong Kong, China; The Hong Kong University of Science and Technology (Guangzhou), Guangzhou, Guangdong, China
Conference: iclr 2023 (main track)
Keywords: Federated learning;feature alignment;data heterogeneity;heterogeneous label distribution;heterogeneous feature distribution
Decision: Withdraw
Title: Score-based Continuous-time Discrete Diffusion Models
Authors: Haoran Sun, Lijun Yu, Bo Dai, Dale Schuurmans, Hanjun Dai
Affiliations: Georgia Tech; Carnegie Mellon University; Google Research; Google Research; University of Alberta; Google Research; Georgia Tech
Conference: iclr 2023 (main track)
Keywords: discrete space diffusion;discrete score matching;continuous-time diffusion
Decision: Poster
Title: GRACE-C: Generalized Rate Agnostic Causal Estimation via Constraints
Authors: Mohammadsajad Abavisani, David Danks, Sergey Plis
Affiliations: Halicioglu Data Science Institute and Department of Philosophy, University of California San Diego, San Diego, CA 92093; Department of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA 30332; TReNDS center, Department of Computer Science, Georgia State University, Atlanta, GA 30302
Conference: iclr 2023 (main track)
Keywords: Causal structure learning;causal learning;graph theory;brain imaging;fMRI
Decision: Top-25%
Title: BAYES RISK CTC: CONTROLLABLE CTC ALIGNMENT IN SEQUENCE-TO-SEQUENCE TASKS
Authors: Jinchuan Tian, Brian Yan, Jianwei Yu, CHAO WENG, Dong Yu, Shinji Watanabe
Affiliations: Tencent AI LAB; Language Technologies Institute, Carnegie Mellon University, Pittsburgh, PA 15213, USA
Conference: iclr 2023 (main track)
Keywords: CTC;alignment;sequence-to-sequence;speech recognition
Decision: Poster
Title: Multi-lingual Evaluation of Code Generation Models
Authors: Ben Athiwaratkun, Sanjay Krishna Gouda, Zijian Wang, Xiaopeng Li, YUCHEN TIAN, Ming Tan, Wasi Ahmad, Shiqi Wang, Qing Sun, Mingyue Shang, Sujan Kumar Gonugondla, Hantian Ding, Varun Kumar, Nathan Fulton, Arash Farahani, Siddhartha Jain, Robert Giaquinto, Haifeng Qian, Murali Krishna Ramanathan, Ramesh Nallapati, Baishakhi Ray, Parminder Bhatia, Sudipta Sengupta, Dan Roth, Bing Xiang
Affiliations: AWS AI Labs
Conference: iclr 2023 (main track)
Keywords: code generation;execution-based evaluation;test-based evaluation;language models;multi-lingual code generation benchmark;code insertion;code summarization;robustness for code;code translation;zero-shot code translation;multi-lingual;mono-lingual;language models.
Decision: Top-25%
Title: SIMPLE: Specialized Model-Sample Matching for Domain Generalization
Authors: Ziyue Li, Kan Ren, XINYANG JIANG, Yifei Shen, Haipeng Zhang, Dongsheng Li
Affiliations: Microsoft Research; ShanghaiTech University
Conference: iclr 2023 (main track)
Keywords: domain generalization;ensemble learning;pretrained model
Decision: Poster
Title: DEP-RL: Embodied Exploration for Reinforcement Learning in Overactuated and Musculoskeletal Systems
Authors: Pierre Schumacher, Daniel Haeufle, Dieter Büchler, Syn Schmitt, Georg Martius
Affiliations: Max Planck Institute for Intelligent Systems, Tübingen, Germany; Institute for Modelling and Simulation of Biomechanical Systems, Stuttgart, Germany; Hertie-Institute for Clinical Brain Research, Tübingen, Germany
Conference: iclr 2023 (main track)
Keywords: reinforcement learning;musculoskeletal;correlated exploration
Decision: Top-25%
Title: Temporal Dependencies in Feature Importance for Time Series Prediction
Authors: Kin Kwan Leung, Clayton Rooke, Jonathan Smith, Saba Zuberi, Maksims Volkovs
Affiliations: Meta; Univ. Waterloo; Layer 6 AI
Conference: iclr 2023 (main track)
Keywords: time series;recurrent;explainability
Decision: Poster
Title: Neural Episodic Control with State Abstraction
Authors: Zhuo Li, Derui Zhu, Yujing Hu, Xiaofei Xie, Lei Ma, YAN ZHENG, Yan Song, Yingfeng Chen, Jianjun Zhao
Affiliations: NetEase Fuxi AI Lab; Technical University of Munich; Singapore Management University; University of Alberta; Tianjin University; Kyushu University
Conference: iclr 2023 (main track)
Keywords: Deep reinforcement learning;episodic control;sample efficiency;state abstraction
Decision: Top-25%
Title: Computational Language Acquisition with Theory of Mind
Authors: Andy Liu, Hao Zhu, Emmy Liu, Yonatan Bisk, Graham Neubig
Affiliations: Harvey Mudd College, Claremont, CA, USA; Language Technologies Institute, Carnegie Mellon University, Pittsburgh, PA, USA
Conference: iclr 2023 (main track)
Keywords: language acquisition;theory of mind;referential games;natural language processing
Decision: Poster
Title: MACTA: A Multi-agent Reinforcement Learning Approach for Cache Timing Attacks and Detection
Authors: Jiaxun Cui, Xiaomeng Yang, Mulong Luo, Geunbae Lee, Peter Stone, Hsien-Hsin Lee, Benjamin Lee, G. Edward Suh, Wenjie Xiong, Yuandong Tian
Affiliations: Intel Corporation; The University of Texas at Austin; Virginia Tech; Meta AI; Cornell University; University of Pennsylvania
Conference: iclr 2023 (main track)
Keywords: multi-agent reinforcement learning;security;game theory
Decision: Poster
Title: Leveraging Future Relationship Reasoning for Vehicle Trajectory Prediction
Authors: Daehee Park, Hobin Ryu, Yunseo Yang, Jegyeong Cho, Jiwon Kim, Kuk-Jin Yoon
Affiliations: NAVER LABS; Korea Advanced Institute of Science and Technology
Conference: iclr 2023 (main track)
Keywords: Trajectory prediction;Autonomous driving;Neural relation inference;Stochasticity modeling;Multimodal prediction
Decision: Poster
Title: Suppressing the Heterogeneity: A Strong Feature Extractor for Few-shot Segmentation
Authors: zhengdong Hu, Yifan Sun, Yi Yang
Affiliations: CCAI, College of Computer Science and Technology, Zhejiang University; ReLER, Centre for Artificial Intelligence, University of Technology Sydney, Australia; Baidu Inc.; Baidu Inc.
Conference: iclr 2023 (main track)
Keywords: deep learning;computer vision;few-shot learning;few-shot semantic segmentation
Decision: Poster
Title: TempCLR: Temporal Alignment Representation with Contrastive Learning
Authors: Yuncong Yang, Jiawei Ma, Shiyuan Huang, Long Chen, Xudong Lin, Guangxing Han, Shih-Fu Chang
Affiliations: Columbia University, New York, NY 10027, USA
Conference: iclr 2023 (main track)
Keywords: Representation learning;Global Sequence Alignment;Zero/Few-shot Transfer
Decision: Poster
Title: AIM: Adapting Image Models for Efficient Video Action Recognition
Authors: Taojiannan Yang, Yi Zhu, Yusheng Xie, Aston Zhang, Chen Chen, Mu Li
Affiliations: Center for Research in Computer Vision, University of Central Florida; Amazon Web Services
Conference: iclr 2023 (main track)
Keywords: Video action recognition;efficient finetuning
Decision: Poster
Title: A Non-Asymptotic Analysis of Oversmoothing in Graph Neural Networks
Authors: Xinyi Wu, Zhengdao Chen, William Wang, Ali Jadbabaie
Affiliations: Laboratory for Information and Decision Systems (LIDS), MIT; Courant Institute of Mathematical Sciences, New York University
Conference: iclr 2023 (main track)
Keywords: graph neural networks;oversmoothing;representational power;theory;deep learning
Decision: Poster
Title: Weighted Ensemble Self-Supervised Learning
Authors: Yangjun Ruan, Saurabh Singh, Warren Morningstar, Alexander Alemi, Sergey Ioffe, Ian Fischer, Joshua Dillon
Affiliations: Google Research∗University of Toronto & Vector Institute; Google Research
Conference: iclr 2023 (main track)
Keywords: self-supervised learning;ensemble;representation learning
Decision: Poster
Title: BALTO: fast tensor program optimization with diversity-based active learning
Authors: Jun Bi, Xiaqing Li, Qi Guo, Rui Zhang, Yuanbo Wen, Xing Hu, Zidong Du, Xinkai Song, Yifan Hao, Yunji Chen
Affiliations: SKL of Processors, ICT, CAS; University of Science and Technology of China; Cambricon Technologies, Beijing, China
Conference: iclr 2023 (main track)
Decision: Poster
Title: Proactive Multi-Camera Collaboration for 3D Human Pose Estimation
Authors: Hai Ci, Mickel Liu, Xuehai Pan, Fangwei Zhong, Yizhou Wang
Affiliations: School of Computer Science, Peking University; Nat’l Key Lab. of GAI & Beijing Institute for GAI (BIGAI); School of Intelligence Science and Technology, Peking University; School of Computer Science, Peking University; Inst. for AI, Peking University; Nat’l Eng. Research Center of Visual Technology
Conference: iclr 2023 (main track)
Keywords: Multi-Cameras Collaboration;Multi-Agent Credit Assignment;Active Vision;Human Pose Estimation
Decision: Poster
Title: Win: Weight-Decay-Integrated Nesterov Acceleration for Adaptive Gradient Algorithms
Authors: Pan Zhou, Xingyu Xie, shuicheng YAN
Affiliations: Sea AI Lab; National Key Lab of General AI, School of Intelligence Science and Technology, Peking University
Conference: iclr 2023 (main track)
Keywords: Optimization acceleration in deep learning;network optimizers;deep learning optimizer;deep learning algorithm
Decision: Top-5%
Title: Hierarchical Sliced Wasserstein Distance
Authors: Khai Nguyen, Tongzheng Ren, Huy Nguyen, Litu Rout, TAN NGUYEN, Nhat Ho
Affiliations: Department of Electrical and Computer Engineering, The University of Texas at Austin, Austin, TX 78712; Department of Statistics and Data Sciences, The University of Texas at Austin, Austin, TX 78712; Department of Mathematics, University of California, Los Angeles, Los Angeles, CA 90095; Department of Computer Science, The University of Texas at Austin, Austin, TX 78712
Conference: iclr 2023 (main track)
Keywords: Sliced Wasserstein;Radon Transform;Optimal Transport;Generative Models
Decision: Poster
Title: MPCFORMER: FAST, PERFORMANT AND PRIVATE TRANSFORMER INFERENCE WITH MPC
Authors: Dacheng Li, Hongyi Wang, Rulin Shao, Han Guo, Eric Xing, Hao Zhang
Affiliations: Carnegie Mellon University; Mohamed bin Zayed University of Artificial Intelligence, Petuum Inc.; University of California, Berkeley
Conference: iclr 2023 (main track)
Keywords: Secure Multiparty Computation;Privacy;Machine Learning;Transformer model
Decision: Top-25%
Title: AudioGen: Textually Guided Audio Generation
Authors: Felix Kreuk, Gabriel Synnaeve, Adam Polyak, Uriel Singer, Alexandre Défossez, Jade Copet, Devi Parikh, Yaniv Taigman, Yossi Adi
Affiliations: FAIR Team, Meta AI; The Hebrew University of Jerusalem; FAIR Team, Meta AI
Conference: iclr 2023 (main track)
Keywords: text-to-audio;audio generation
Decision: Poster