hunoutl/paperlists huggingface dataset:
Title: Revisiting Robustness in Graph Machine Learning
Authors: Lukas Gosch, Daniel Sturm, Simon Geisler, Stephan Günnemann
Affiliations: Department of Computer Science & Munich Data Science Institute, Technical University of Munich
Conference: iclr 2023 (main track)
Keywords: graph neural networks;adversarial robustness;label propagation;node-classification;stochastic block models;Bayes classifier;non-i.i.d. data;graph learning;graphs;robustness
Decision: Poster
Title: Towards One-shot Neural Combinatorial Solvers: Theoretical and Empirical Notes on the Cardinality-Constrained Case
Authors: Runzhong Wang, Li Shen, Yiting Chen, Xiaokang Yang, Dacheng Tao, Junchi Yan
Affiliations: JD Explore Academy; MoE Key Lab of Artificial Intelligence, Shanghai Jiao Tong University
Conference: iclr 2023 (main track)
Keywords: deep learning;combinatorial optimization;facility location problem;max coverage problem;portfolio optimization
Decision: Poster
Title: Self-Guided Noise-Free Data Generation for Efficient Zero-Shot Learning
Authors: JIAHUI GAO, Renjie Pi, LIN Yong, Hang Xu, Jiacheng Ye, Zhiyong Wu, WEIZHONG ZHANG, Xiaodan Liang, Zhenguo Li, Lingpeng Kong
Affiliations: Huawei Noah’s Ark Lab; Fudan University; The University of Hong Kong; Hong Kong University of Science and Technology; Sun Yat-sen University; Shanghai AI Lab
Conference: iclr 2023 (main track)
Keywords: Pre-Trained Language Model;Prompt-Based Learning;Efficient Zero-Shot Learning
Decision: Top-25%
Title: Basic Binary Convolution Unit for Binarized Image Restoration Network
Authors: Bin Xia, Yulun Zhang, Yitong Wang, Yapeng Tian, Wenming Yang, Radu Timofte, Luc Van Gool
Affiliations: University of Würzburg; University of Texas at Dallas; ByteDance Inc; Tsinghua University; ETH Zürich
Conference: iclr 2023 (main track)
Keywords: Imgae Restoration； Low-Level Vision
Decision: Poster
Title: Enhancing Meta Learning via Multi-Objective Soft Improvement Functions
Authors: Runsheng Yu, Weiyu Chen, Xinrun Wang, James Kwok
Affiliations: School of Computer Science and Engineering, Nanyang Technological University; Department of Computer Science and Engineering, Hong Kong University of Science and Technology
Conference: iclr 2023 (main track)
Keywords: Meta Learning;Multi-Objective Optimization
Decision: Poster
Title: Federated Learning from Small Datasets
Authors: Michael Kamp, Jonas Fischer, Jilles Vreeken
Affiliations: Harvard T.H. Chan School of Public Health, Department of Biostatistics, Boston, MA, United States; Institute for AI in medicine (IKIM), University Hospital Essen, Essen Germany, and Ruhr-University Bochum, Bochum Germany, and Monash University, Melbourne, Australia; CISPA Helmholtz Center for Information Security, Saarbrücken, Germany
Conference: iclr 2023 (main track)
Keywords: federated learning;distributed;sparse data;daisy chain;small datasets
Decision: Poster
Title: Generating Sequences by Learning to Self-Correct
Authors: Sean Welleck, Ximing Lu, Peter West, Faeze Brahman, Tianxiao Shen, Daniel Khashabi, Yejin Choi
Affiliations: Center for Language and Speech Processing, Johns Hopkins University; Paul G. Allen School of Computer Science & Engineering, University of Washington; Allen Institute for Artificial Intelligence
Conference: iclr 2023 (main track)
Keywords: Language models;text generation
Decision: Poster
Title: Collaborative Pure Exploration in Kernel Bandit
Authors: Yihan Du, Wei Chen, Yuko Kuroki, Longbo Huang
Affiliations: The University of Tokyo & RIKEN AIP, Tokyo, Japan; CENTAI Institute, Turin, Italy; Institute for Interdisciplinary Information Sciences, Tsinghua University, Beijing, China; Microsoft Research, Beijing, China
Conference: iclr 2023 (main track)
Keywords: Collaborative Pure Exploration (CoPE);kernel bandit;multi-agent bandit;multi-task learning;communication round
Decision: Poster
Title: Is Model Ensemble Necessary? Model-based RL via a Single Model with Lipschitz Regularized Value Function
Authors: Ruijie Zheng, Xiyao Wang, Huazhe Xu, Furong Huang
Affiliations: University of Maryland, College Park; Tsinghua University
Conference: iclr 2023 (main track)
Keywords: Model-based Reinforcement Learning;Probabilistic Dynamics Model Ensemble;Lipschitz Regularization
Decision: Poster
Title: Behavior Prior Representation learning for Offline Reinforcement Learning
Authors: Hongyu Zang, Xin Li, Jie Yu, Chen Liu, Riashat Islam, Remi Tachet des Combes, Romain Laroche
Affiliations: Work done while at Microsoft Research Montreal; Beijing Institute of Technology, China; Mila, Quebec AI Institute, Canada
Conference: iclr 2023 (main track)
Keywords: offline reinforcement learning;representation learning
Decision: Poster
Title: Pink Noise Is All You Need: Colored Noise Exploration in Deep Reinforcement Learning
Authors: Onno Eberhard, Jakob Hollenstein, Cristina Pinneri, Georg Martius
Affiliations: Max Planck Institute for Intelligent Systems, Tübingen, Germany; Universität Innsbruck; Max Planck ETH Center for Learning Systems
Conference: iclr 2023 (main track)
Keywords: reinforcement learning;exploration;action noise;continuous control
Decision: Top-25%
Title: InCoder: A Generative Model for Code Infilling and Synthesis
Authors: Daniel Fried, Armen Aghajanyan, Jessy Lin, Sida Wang, Eric Wallace, Freda Shi, Ruiqi Zhong, Scott Yih, Luke Zettlemoyer, Mike Lewis
Affiliations: TTI-Chicago△; Carnegie Mellon University♢; University of Washington†; Facebook AI Research♡; UC Berkeley♣
Conference: iclr 2023 (main track)
Keywords: code generation;program synthesis;language to code
Decision: Top-25%
Title: Divide to Adapt: Mitigating Confirmation Bias for Domain Adaptation of Black-Box Predictors
Authors: JIANFEI YANG, Xiangyu Peng, Kai Wang, Zheng Zhu, Jiashi Feng, Lihua Xie, Yang You
Affiliations: Nanyang Technological University; National University of Singapore; ByteDance; Tsinghua University
Conference: iclr 2023 (main track)
Keywords: model adaptation;black-box predictors;transfer learning
Decision: Top-25%
Title: Linear Connectivity Reveals Generalization Strategies
Authors: Jeevesh Juneja, Rachit Bansal, Kyunghyun Cho, João Sedoc, Naomi Saphra
Affiliations: New York University; Delhi Technological University
Conference: iclr 2023 (main track)
Keywords: loss landscapes;OOD generalization;NLI;text classification;loss surfaces;transfer learning;challenge sets;NLP
Decision: Poster
Title: Deep Ensembles for Graphs with Higher-order Dependencies
Authors: Steven Krieg, William Burgis, Patrick Soga, Nitesh Chawla
Affiliations: Lucy Family Institute for Data and Society, University of Notre Dame, Notre Dame, IN 46556
Conference: iclr 2023 (main track)
Keywords: graph neural networks;higher order networks;deep ensembles;representation learning;semisupervised learning
Decision: Poster
Title: Learning to Induce Causal Structure
Authors: Nan Rosemary Ke, Silvia Chiappa, Jane Wang, Jorg Bornschein, Anirudh Goyal, Melanie Rey, Theophane Weber, Matthew Botvinick, Michael Mozer, Danilo Jimenez Rezende
Affiliations: Google Research, Brain Team; DeepMind; DeepMind, University of Montreal; DeepMind, Mila, Polytechnique Montreal
Conference: iclr 2023 (main track)
Keywords: causality;deep learning
Decision: Poster
Title: PerFedMask: Personalized Federated Learning with Optimized Masking Vectors
Authors: Mehdi Setayesh, Xiaoxiao Li, Vincent Wong
Affiliations: Department of Electrical and Computer Engineering, The University of British Columbia
Conference: iclr 2023 (main track)
Keywords: Computational capability;Data heterogeneity;Masking vectors;Personalized federated learning
Decision: Poster
Title: Statistical Theory of Differentially Private Marginal-based Data Synthesis Algorithms
Authors: Ximing Li, Chendi Wang, Guang Cheng
Affiliations: Shenzhen Research Institute of Big Data & University of Pennsylvania, Philadelphia, PA 19104, USA; Tsinghua University, Beijing, 100084, P. R. China; Department of Statistics, University of California, Los Angeles, Los Angeles, CA 90095, USA
Conference: iclr 2023 (main track)
Keywords: Synthetic data;differential privacy;marginal-based method;Bayesian network;learning theory
Decision: Poster
Title: In-context Reinforcement Learning with Algorithm Distillation
Authors: Michael Laskin, Luyu Wang, Junhyuk Oh, Emilio Parisotto, Stephen Spencer, Richie Steigerwald, DJ Strouse, Steven Hansen, Angelos Filos, Ethan Brooks, Maxime Gazeau, Himanshu Sahni, Satinder Singh, Volodymyr Mnih
Affiliations: DeepMind
Conference: iclr 2023 (main track)
Keywords: Reinforcement Learning;Transformers;Learning to Learn;Large Language Models
Decision: Top-5%
Title: Pruning Deep Neural Networks from a Sparsity Perspective
Authors: Enmao Diao, Ganghua Wang, Jiawei Zhang, Yuhong Yang, Jie Ding, VAHID TAROKH
Affiliations: Department of Electrical and Computer Engineering, Duke University, Durham, NC 27705, USA; School of Statistics, University of Minnesota, Minneapolis, MN 55455, USA
Conference: iclr 2023 (main track)
Keywords: Adaptive Pruning;Model Collapse;Sparsity;Model Compression;Deep Learning
Decision: Poster
Title: MultiViz: Towards Visualizing and Understanding Multimodal Models
Authors: Paul Pu Liang, Yiwei Lyu, Gunjan Chhablani, Nihal Jain, Zihao Deng, Xingbo Wang, Louis-Philippe Morency, Ruslan Salakhutdinov
Affiliations: Carnegie Mellon University; University of Michigan; HKUST; Georgia Tech
Conference: iclr 2023 (main track)
Keywords: multimodal learning;representation learning;interpretation;visualization
Decision: Poster
Title: Near-Optimal Adversarial Reinforcement Learning with Switching Costs
Authors: Ming Shi, Yingbin Liang, Ness Shroff
Affiliations: Department of Electrical and Computer Engineering, The Ohio State University, Columbus, OH 43210, USA
Conference: iclr 2023 (main track)
Keywords: adversarial reinforcement learning;switching costs;regret analysis;lower bound
Decision: Top-25%
Title: Confidential-PROFITT: Confidential PROof of FaIr Training of Trees
Authors: Ali Shahin Shamsabadi, Sierra Wyllie, Nicholas Franzese, Natalie Dullerud, Sébastien Gambs, Nicolas Papernot, Xiao Wang, Adrian Weller
Affiliations: The Alan Turing Institute; Université du Québec à Montréal; University of Cambridge; University of Toronto; Northwestern University
Conference: iclr 2023 (main track)
Keywords: Fairness;Audit;Confidentiality;Zero-Knowledge Proof
Decision: Top-5%
Title: GAMR: A Guided Attention Model for (visual) Reasoning
Authors: Mohit Vaishnav, Thomas Serre
Affiliations: Artificial and Natural Intelligence Toulouse Institute, Université de Toulouse, France; Carney Institute for Brain Science, Dpt. of Cognitive Linguistic & Psychological Sciences, Brown University, Providence, RI 02912; Centre de Recherche Cerveau et Cognition, CNRS, Université de Toulouse, France; Artificial and Natural Intelligence Toulouse Institute, Université de Toulouse, France; Carney Institute for Brain Science, Dpt. of Cognitive Linguistic & Psychological Sciences, Brown University, Providence, RI 02912
Conference: iclr 2023 (main track)
Keywords: abstract visual reasoning;visual routines;out-of-distribution generalization;external memory;zero shot generalization;compositional learning
Decision: Poster
Title: Neuro-Symbolic Procedural Planning with Commonsense Prompting
Authors: Yujie Lu, Weixi Feng, Wanrong Zhu, Wenda Xu, Xin Wang, Miguel Eckstein, William Wang
Affiliations: University of California, Santa Cruz, CA, USA; University of California, Santa Barbara, CA, USA
Conference: iclr 2023 (main track)
Keywords: Procedural Planning;Commonsense Knowledge;Prompting;Neuro-Symbolic
Decision: Top-25%
Title: BEEF: Bi-Compatible Class-Incremental Learning via Energy-Based Expansion and Fusion
Authors: Fu-Yun Wang, Da-Wei Zhou, Liu Liu, Han-Jia Ye, Yatao Bian, De-Chuan Zhan, Peilin Zhao
Affiliations: State Key Laboratory for Novel Software Technology, Nanjing University; State Key Laboratory for Novel Software Technology, Nanjing University and Tencent AI Lab; Tencent AI Lab
Conference: iclr 2023 (main track)
Keywords: EBMs;Compatibility;Continual Learning
Decision: Poster
Title: BigVGAN: A Universal Neural Vocoder with Large-Scale Training
Authors: Sang-gil Lee, Wei Ping, Boris Ginsburg, Bryan Catanzaro, Sungroh Yoon
Affiliations: AIIS, ASRI, INMC, ISRC, NSI, and Interdisciplinary Program in AI, SNU; NVIDIA; Data Science & AI Lab, Seoul National University (SNU)
Conference: iclr 2023 (main track)
Keywords: audio synthesis;speech synthesis;waveform generation;universal neural vocoder
Decision: Poster
Title: Understanding the Generalization of Adam in Learning Neural Networks with Proper Regularization
Authors: Difan Zou, Yuan Cao, Yuanzhi Li, Quanquan Gu
Affiliations: Department of Computer Science & Institute of Data Science, The University of Hong Kong; Department of Computer Science, University of California, Los Angeles; Machine Learning Department, Carnegie Mellon University; Department of Statistics & Actuarial Science, The University of Hong Kong
Conference: iclr 2023 (main track)
Keywords: generalization;gradient descent;Neural tangent kernel;Adam;nonconvex optimization
Decision: Poster
Title: PandA: Unsupervised Learning of Parts and Appearances in the Feature Maps of GANs
Authors: James Oldfield, Christos Tzelepis, Yannis Panagakis, Mihalis Nicolaou, Ioannis Patras
Affiliations: The Cyprus Institute; University of Athens; Queen Mary University of London
Conference: iclr 2023 (main track)
Keywords: GANs;interpretability;local image editing
Decision: Poster
Title: Learning the Positions in CountSketch
Authors: Yi Li, Honghao Lin, Simin Liu, Ali Vakilian, David Woodruff
Affiliations: Nanyang Technological University; Carnegie Mellon University; Toyota Technological Institute at Chicago
Conference: iclr 2023 (main track)
Keywords: learning-augmented sketches;count-sketch;low-rank approximation;iterative Hessian sketch
Decision: Top-25%
Title: Bayesian Oracle for bounding information gain in neural encoding models
Authors: Konstantin-Klemens Lurz, Mohammad Bashiri, Edgar Walker, Fabian Sinz
Affiliations: Institute for Bioinformatics and Medical Informatics, University of Tübingen, Germany; Department of Physiology, Computational Neuroscience Center, University of Washington, USA; Department of Computer Science, University Göttingen, Germany
Conference: iclr 2023 (main track)
Keywords: information theory;evaluation metrics;Bayesian;Neuroscience;encoding models
Decision: Poster
Title: CodeGen: An Open Large Language Model for Code with Multi-Turn Program Synthesis
Authors: Erik Nijkamp, Bo Pang, Hiroaki Hayashi, Lifu Tu, Huan Wang, Yingbo Zhou, Silvio Savarese, Caiming Xiong
Affiliations: Salesforce Research
Conference: iclr 2023 (main track)
Keywords: Program synthesis;multi-turn generation;code generation;large language models;generative models
Decision: Top-25%
Title: Continual Unsupervised Disentangling of Self-Organizing Representations
Authors: Zhiyuan Li, Xiajun Jiang, Ryan Missel, Prashnna Gyawali, Nilesh Kumar, Linwei Wang
Affiliations: Stanford University; Rochester Institute of Technology
Conference: iclr 2023 (main track)
Keywords: continual disentanglment;generative model;VAE;SOM
Decision: Top-25%
Title: Diffusion Probabilistic Fields
Authors: Peiye Zhuang, Samira Abnar, Jiatao Gu, Alex Schwing, Joshua Susskind, MIGUEL ANGEL BAUTISTA MARTIN
Affiliations: Stanford University; University of Illinois at Urbana-Champaign; Apple
Conference: iclr 2023 (main track)
Keywords: Generative Models;Field Representation;Diffusion Models
Decision: Poster
Title: Can Agents Run Relay Race with Strangers? Generalization of RL to Out-of-Distribution Trajectories
Authors: Li-Cheng Lan, Huan Zhang, Cho-Jui Hsieh
Affiliations: University of California, Los Angeles; Carnegie Mellon University
Conference: iclr 2023 (main track)
Keywords: Genralization;Reinforcement Learning
Decision: Poster
Title: QuAnt: Quantum Annealing with Learnt Couplings
Authors: Marcel Seelbach Benkner, Maximilian Krahn, Edith Tretschk, Zorah Lähner, Michael Moeller, Vladislav Golyanik
Affiliations: MPI for Informatics, SIC; Universit ¨at Siegen; MPI for Informatics, SIC, Aalto University
Conference: iclr 2023 (main track)
Decision: Top-25%
Title: Causal Representation Learning for Instantaneous and Temporal Effects in Interactive Systems
Authors: Phillip Lippe, Sara Magliacane, Sindy Löwe, Yuki Asano, Taco Cohen, Efstratios Gavves
Affiliations: MIT-IBM Watson AI Lab, University of Amsterdam; Qualcomm AI Research∗, Amsterdam; QUV A Lab, University of Amsterdam; UvA-Bosch Delta Lab, University of Amsterdam
Conference: iclr 2023 (main track)
Keywords: Representation Learning;Causality;Causal Representation Learning;Causal Discovery;Disentanglement
Decision: Poster
Title: Recon: Reducing Conflicting Gradients From the Root For Multi-Task Learning
Authors: Guangyuan SHI, Qimai Li, Wenlong Zhang, Jiaxin Chen, Xiao-Ming Wu
Affiliations: Department of Computing, The Hong Kong Polytechnic University, Hong Kong S.A.R., China
Conference: iclr 2023 (main track)
Keywords: Multi-task Learning;Conflicting Gradients
Decision: Poster
Title: Unbiased Stochastic Proximal Solver for Graph Neural Networks with Equilibrium States
Authors: Mingjie Li, Yifei Wang, Yisen Wang, Zhouchen Lin
Affiliations: Peng Cheng Laboratory; School of Mathematical Sciences, Peking University; National Key Lab of General Artificial Intelligence, School of Intelligence Science and Technology, Peking University; Institute for Artificial Intelligence, Peking University
Conference: iclr 2023 (main track)
Decision: Poster
Title: DIFFormer: Scalable (Graph) Transformers Induced by Energy Constrained Diffusion
Authors: Qitan Wu, Chenxiao Yang, Wentao Zhao, Yixuan He, David Wipf, Junchi Yan
Affiliations: Amazon Web Service; Department of CSE & MoE Lab of Artificial Intelligence, Shanghai Jiao Tong University; Department of Statistics, University of Oxford
Conference: iclr 2023 (main track)
Keywords: structured representation learning;diffusion model;optimization-induced model;node prediction
Decision: Top-25%
Title: Task-customized Masked Autoencoder via Mixture of Cluster-conditional Experts
Authors: Zhili LIU, Kai Chen, Jianhua Han, Lanqing HONG, Hang Xu, Zhenguo Li, James Kwok
Affiliations: Huawei Noah’s Ark Lab; Department of Computer Science and Engineering, Hong Kong University of Science and Technology; Department of Computer Science and Engineering, Hong Kong University of Science and Technology & Huawei Noah’s Ark Lab
Conference: iclr 2023 (main track)
Decision: Top-25%
Title: Memory Gym: Partially Observable Challenges to Memory-Based Agents
Authors: Marco Pleines, Matthias Pallasch, Frank Zimmer, Mike Preuss
Affiliations: LIACS Universiteit Leiden; Rhine-Waal University of Applied Sciences; TU Dortmund University
Conference: iclr 2023 (main track)
Keywords: Deep Reinforcement Learning;Memory;Benchmark;Proximal Policy Optimization;Gated Recurrent Unit;HELM
Decision: Poster
Title: DiffuSeq: Sequence to Sequence Text Generation with Diffusion Models
Authors: Shansan Gong, Mukai Li, Jiangtao Feng, Zhiyong Wu, Lingpeng Kong
Affiliations: The University of Hong Kong; Shark-NLP, Shanghai AI Laboratory
Conference: iclr 2023 (main track)
Keywords: diffusion model;sequence to sequence;text generation;diveristy
Decision: Poster
Title: Spherical Sliced-Wasserstein
Authors: Clément Bonet, Paul Berg, Nicolas Courty, François Septier, Lucas Drumetz, Minh Tan Pham
Affiliations: Universit ´e Bretagne Sud, LMBA1, IRISA2; IMT Atlantique, Lab-STICC3
Conference: iclr 2023 (main track)
Keywords: Optimal Transport;Sliced-Wasserstein;Sphere;Radon Transform
Decision: Poster
Title: TrojText: Test-time Invisible Textual Trojan Insertion
Authors: Qian Lou, Yepeng Liu, Bo Feng
Affiliations: Meta Platforms, Inc., AI Infra; University of Central Florida
Conference: iclr 2023 (main track)
Keywords: Textual;Trojan;Backdoor;Syntactic;Trigger;Invisible;Attack;Defense;Test-time
Decision: Poster
Title: On the Robustness of Safe Reinforcement Learning under Observational Perturbations
Authors: Zuxin Liu, Zijian Guo, Zhepeng Cen, Huan Zhang, Jie Tan, Bo Li, DING ZHAO
Affiliations: CMU; UIUC; Google Brain
Conference: iclr 2023 (main track)
Keywords: Safe reinforcement learning;deep reinforcement learning;state robust reinforcement learning
Decision: Poster
Title: Mole-BERT: Rethinking Pre-training Graph Neural Networks for Molecules
Authors: Jun Xia, Chengshuai Zhao, Bozhen Hu, Zhangyang Gao, Cheng Tan, Yue Liu, Siyuan Li, Stan Z Li
Affiliations: University of California, Irvine; AI Lab, Research Center for Industries of the Future, Westlake University
Conference: iclr 2023 (main track)
Keywords: graph neural networks
Decision: Poster
Title: DAG Matters! GFlowNets Enhanced Explainer for Graph Neural Networks
Authors: Wenqian Li, Yinchuan Li, Zhigang Li, Jianye HAO, Yan Pang
Affiliations: Huawei Noah’s Ark Lab, Beijing, China and Tianjin University, Tianjin, China; Tianjin University, Tianjin, China; Huawei Noah’s Ark Lab, Beijing, China; National University of Singapore, Singapore
Conference: iclr 2023 (main track)
Keywords: GNN;Interpretability
Decision: Poster
Title: SWIFT: Rapid Decentralized Federated Learning via Wait-Free Model Communication
Authors: Marco Bornstein, Tahseen Rabbani, Evan Wang, Amrit Bedi, Furong Huang
Affiliations: Department of Computer Science, University of Maryland
Conference: iclr 2023 (main track)
Keywords: Federated Learning;Asynchronous;Decentralized;Wait-Free
Decision: Poster
Title: Efficient Edge Inference by Selective Query
Authors: Anil Kag, Igor Fedorov, Aditya Gangrade, Paul Whatmough, Venkatesh Saligrama
Affiliations: Boston University; Carnegie Mellon University; Meta AI; Qualcomm AI Research
Conference: iclr 2023 (main track)
Keywords: efficient edge inference;low-capacity model;large scale prediction;dynamic neural networks;adaptive neural networks
Decision: Poster
Title: Improved Sample Complexity for Reward-free Reinforcement Learning under Low-rank MDPs
Authors: Yuan Cheng, Ruiquan Huang, Yingbin Liang, Jing Yang
Affiliations: University of Science and Technology of China; The Pennsylvania State University; The Ohio State University
Conference: iclr 2023 (main track)
Keywords: Reward Free Exploration;Representation Learning;Sample Complexity;Model-Based RL
Decision: Poster
Title: Grounding Graph Network Simulators using Physical Sensor Observations
Authors: Jonas Linkerhägner, Niklas Freymuth, Paul Maria Scheikl, Franziska Mathis-Ullrich, Gerhard Neumann
Affiliations: Institute for Anthropomatics and Robotics, Karlsruhe Institute of Technology, Karlsruhe, Germany; Institute for Anthropomatics and Robotics, Karlsruhe Institute of Technology, Karlsruhe, Germany; Department Artificial Intelligence in Biomedical Engineering, Friedrich-Alexander-University Erlangen-Nürnberg, Erlangen, Germany
Conference: iclr 2023 (main track)
Keywords: graph network simulators;deformable object simulation;point clouds
Decision: Poster
Title: TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis
Authors: haixu wu, Tengge Hu, Yong Liu, Hang Zhou, Jianmin Wang, Mingsheng Long
Affiliations: School of Software, BNRist, Tsinghua University, Beijing 100084, China
Conference: iclr 2023 (main track)
Keywords: Time Series Analysis;Deep Learning
Decision: Poster
Title: Layer Grafted Pre-training: Bridging Contrastive Learning And Masked Image Modeling For Label-Efficient Representations
Authors: Ziyu Jiang, Yinpeng Chen, mengchen liu, Dongdong Chen, Xiyang Dai, Lu Yuan, Zicheng Liu, Zhangyang Wang
Affiliations: University of Texas at Austin; Texas A&M University; Microsoft
Conference: iclr 2023 (main track)
Keywords: Mask Image Modeling;Contrastive learning
Decision: Poster
Title: Sparse Random Networks for Communication-Efficient Federated Learning
Authors: Berivan Isik, Francesco Pase, Deniz Gunduz, Tsachy Weissman, Michele Zorzi
Affiliations: Stanford University; University of Padova; Imperial College London
Conference: iclr 2023 (main track)
Keywords: communication-efficient federated learning;sparse networks with random weights;compression;sparsity.
Decision: Poster