hunoutl/paperlists huggingface dataset:
Title: Generalized Precision Matrix for Scalable Estimation of Nonparametric Markov Networks
Authors: Yujia Zheng, Ignavier Ng, Yewen Fan, Kun Zhang
Affiliations: Carnegie Mellon University; Carnegie Mellon University, Mohamed bin Zayed University of Artificial Intelligence
Conference: iclr 2023 (main track)
Keywords: Structure learning;Markov networks;graphical models;score matching;model selection
Decision: Poster
Title: Language Models Are Greedy Reasoners: A Systematic Formal Analysis of Chain-of-Thought
Authors: Abulhair Saparov, He He
Affiliations: Center for Data Science, New York University, New York, NY 10011, USA
Conference: iclr 2023 (main track)
Keywords: large language models;reasoning;question answering;chain-of-thought;in-context learning
Decision: Poster
Title: Mega: Moving Average Equipped Gated Attention
Authors: Xuezhe Ma, Chunting Zhou, Xiang Kong, Junxian He, Liangke Gui, Graham Neubig, Jonathan May, Luke Zettlemoyer
Affiliations: Meta AI; LTI, CMU; ISI, USC; SJTU
Conference: iclr 2023 (main track)
Keywords: Neural Architecture;Attention;Exponential Moving Average
Decision: Poster
Title: The KFIoU Loss for Rotated Object Detection
Authors: Xue Yang, Yue Zhou, Gefan Zhang, Jirui Yang, Wentao Wang, Junchi Yan, XIAOPENG ZHANG, Qi Tian
Affiliations: University of Chinese Academy of Sciences; Huawei Cloud; MoE Key Lab of Artificial Intelligence, Shanghai Jiao Tong University and COWAROBOT Co. Ltd.; MoE Key Lab of Artificial Intelligence, Shanghai Jiao Tong University and Shanghai AI Laboratory; MoE Key Lab of Artificial Intelligence, Shanghai Jiao Tong University
Conference: iclr 2023 (main track)
Keywords: Rotation Detection;SkewIoU loss;Kalman Filter
Decision: Poster
Title: Selective Annotation Makes Language Models Better Few-Shot Learners
Authors: Hongjin SU, Jungo Kasai, Chen Henry Wu, Weijia Shi, Tianlu Wang, Jiayi Xin, Rui Zhang, Mari Ostendorf, Luke Zettlemoyer, Noah Smith, Tao Yu
Affiliations: Penn State University; The University of Hong Kong; University of Washington; Carnegie Mellon University; Meta AI
Conference: iclr 2023 (main track)
Keywords: few-shot learning;language models;in-context learning;active learning
Decision: Poster
Title: Edge Guided GANs with Contrastive Learning for Semantic Image Synthesis
Authors: Hao Tang, XIAOJUAN QI, Guolei Sun, Dan Xu, Nicu Sebe, Radu Timofte, Luc Van Gool
Affiliations: University of Hong Kong; University of Trento; ETH Zurich; HKUST
Conference: iclr 2023 (main track)
Keywords: Semantic image synthesis;contrastive learning;GANs;edge
Decision: Poster
Title: Online Boundary-Free Continual Learning by Scheduled Data Prior
Authors: Hyunseo Koh, Minhyuk Seo, Jihwan Bang, Hwanjun Song, Deokki Hong, Seulki Park, Jung-Woo Ha, Jonghyun Choi
Affiliations: NAVER Cloud; Yonsei University; Seoul National University; NAVER AI Lab
Conference: iclr 2023 (main track)
Keywords: Continual learning;data prior;boundary-free
Decision: Poster
Title: Valid P-Value for Deep Learning-driven Salient Region
Authors: Daiki Miwa, Vo Nguyen Le Duy, Ichiro Takeuchi
Affiliations: Nagoya Institute of Technology; Nagoya University and RIKEN; RIKEN
Conference: iclr 2023 (main track)
Keywords: Saliency Map;Attention;Selective Inference;Uncertainty Quantification;P-value;Statistical Hypothesis Testing
Decision: Poster
Title: Robust Graph Dictionary Learning
Authors: Weijie Liu, Jiahao Xie, Chao Zhang, Makoto Yamada, Nenggan Zheng, Hui Qian
Affiliations: College of Computer Science and Technology, Zhejiang University; Qiushi Academy for Advanced Studies, Zhejiang University; State Key Lab of CAD&CG, Zhejiang University; Okinawa Institute of Science and Technology
Conference: iclr 2023 (main track)
Keywords: Graph Learning;Optimal Transport
Decision: Poster
Title: Decepticons: Corrupted Transformers Breach Privacy in Federated Learning for Language Models
Authors: Liam H Fowl, Jonas Geiping, Steven Reich, Yuxin Wen, Wojciech Czaja, Micah Goldblum, Tom Goldstein
Affiliations: New York University; University of Maryland
Conference: iclr 2023 (main track)
Keywords: Federated Learning;Attack;Privacy;Transformers;Gradient Inversion
Decision: Poster
Title: Equivariant Energy-Guided SDE for Inverse Molecular Design
Authors: Fan Bao, Min Zhao, Zhongkai Hao, Peiyao Li, Chongxuan Li, Jun Zhu
Affiliations: Dept. of Comp. Sci. & Tech., Institute for AI, Tsinghua-Huawei Joint Center for AI, BNRist Center, State Key Lab for Intell. Tech. & Sys., Tsinghua University, Beijing, China; Gaoling School of Artificial Intelligence, Renmin University of China, Beijing, China; Beijing Key Laboratory of Big Data Management and Analysis Methods, Beijing, China
Conference: iclr 2023 (main track)
Keywords: score-based model;diffusion model;inverse molecular design;energy guidance;molecule generation;equivariance
Decision: Poster
Title: Making Better Decision by Directly Planning in Continuous Control
Authors: Jinhua Zhu, Yue Wang, Lijun Wu, Tao Qin, Wengang Zhou, Tie-Yan Liu, Houqiang Li
Affiliations: Microsoft Research AI4Science; University of Science and Technology of China
Conference: iclr 2023 (main track)
Keywords: Model-based Reinforcement Learning;Reinforcement Learning;Planning;Policy Optimization
Decision: Poster
Title: Approximation and non-parametric estimation of functions over high-dimensional spheres via deep ReLU networks
Authors: Namjoon Suh, Tian-Yi Zhou, Xiaoming Huo
Affiliations: H.Milton Stewart School of Industrial and Systems Engineering, Georgia Institute of Technology, Atlanta, GA, USA
Conference: iclr 2023 (main track)
Keywords: Approximation Theory;Non-parametric regression;Asymptotic;Deep ReLU Neural networks;High-dimensional sphere
Decision: Poster
Title: Curriculum-based Co-design of Morphology and Control of Voxel-based Soft Robots
Authors: Yuxing Wang, Shuang Wu, Haobo Fu, QIANG FU, Tiantian Zhang, Yongzhe Chang, Xueqian Wang
Affiliations: Tencent AI Lab, Shenzhen, China; Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen, China
Conference: iclr 2023 (main track)
Keywords: Artificial Life;Brain-body Co-design;Robotics;Modular Soft Robots
Decision: Poster
Title: Rethinking the Expressive Power of GNNs via Graph Biconnectivity
Authors: Bohang Zhang, Shengjie Luo, Liwei Wang, Di He
Affiliations: National Key Laboratory of General Artificial Intelligence, School of Intelligence Science and Technology, Peking University; Center for Data Science, Peking University; National Key Laboratory of General Artificial Intelligence, School of Intelligence Science and Technology, Peking University
Conference: iclr 2023 (main track)
Keywords: Graph Neural Networks;Expressive Power;Weisfeiler-Lehman test;Graph Transformer;Biconnectivity
Decision: Top-5%
Title: CogVideo: Large-scale Pretraining for Text-to-Video Generation via Transformers
Authors: Wenyi Hong, Ming Ding, Wendi Zheng, Xinghan Liu, Jie Tang
Affiliations: Tsinghua University, BAAI; Tsinghua University
Conference: iclr 2023 (main track)
Keywords: pretraining;text-to-video generation
Decision: Poster
Title: On Compositional Uncertainty Quantification for Seq2seq Graph Parsing
Authors: Zi Lin, Du Phan, Panupong Pasupat, Jeremiah Zhe Liu, Jingbo Shang
Affiliations: UC San Diego; Google Research, Harvard University; Google Research
Conference: iclr 2023 (main track)
Keywords: Uncertainty Quantification;Seq2seq Graph Parsing
Decision: Poster
Title: Tensor-Based Sketching Method for the Low-Rank Approximation of Data Streams.
Authors: Cuiyu Liu, Xiao Chuanfu, Mingshuo Ding, Chao Yang
Affiliations: Academy for Advanced Interdisciplinary Studies, Peking University, Beijing, China; School of Mathematical Sciences, Peking University, Beijing, China
Conference: iclr 2023 (main track)
Decision: Poster
Title: Imbalanced Semi-supervised Learning with Bias Adaptive Classifier
Authors: Renzhen Wang, Xixi Jia, Quanziang Wang, Yichen Wu, Deyu Meng
Affiliations: Xi’an Jiaotong University, Macau University of Science and Technology, Peng Cheng Laboratory; Xi’an Jiaotong University; Xidian University; City University of Hong Kong
Conference: iclr 2023 (main track)
Keywords: semi-supervised learning;weakly-supervised learning
Decision: Poster
Title: Programmatically Grounded, Compositionally Generalizable Robotic Manipulation
Authors: Renhao Wang, Jiayuan Mao, Joy Hsu, Hang Zhao, Jiajun Wu, Yang Gao
Affiliations: Stanford University; MIT; Tsinghua University
Conference: iclr 2023 (main track)
Keywords: Vision-Language-Action Grounding;Zero-Shot Generalization;Compositional Generalization;Neurosymbolic Learning
Decision: Top-25%
Title: Improving Deep Regression with Ordinal Entropy
Authors: Shihao Zhang, Linlin Yang, Michael Bi Mi, Xiaoxu Zheng, Angela Yao
Affiliations: Huawei International Pte Ltd, Singapore; National University of Singapore, Singapore
Conference: iclr 2023 (main track)
Keywords: regression;classification;entropy;depth estimation;counting;age estimation
Decision: Poster
Title: A Learning Based Hypothesis Test for Harmful Covariate Shift
Authors: Tom Ginsberg, Zhongyuan Liang, Rahul G. Krishnan
Affiliations: Department of Computer Science, University of Toronto, Toronto, ON M5S 1A1
Conference: iclr 2023 (main track)
Keywords: Covariate Shift;Distribution Shift;Trustworthy Machine Learning;Statistics
Decision: Poster
Title: Multivariate Time-series Imputation with Disentangled Temporal Representations
Authors: SHUAI LIU, Xiucheng Li, Gao Cong, Yile Chen, YUE JIANG
Affiliations: School of Computer Science and Technology, Harbin Institute of Technology (Shenzhen), No.6, Pingshan 1st Road, Nanshan District, Shenzhen, Guangdong, China, 518055; School of Computer Science and Engineering, Nanyang Technological University, 50 Nanyang Avenue, Singapore, 639798
Conference: iclr 2023 (main track)
Keywords: multivariate time-series imputation;disentangled representation
Decision: Poster
Title: Weakly-supervised HOI Detection via Prior-guided Bi-level Representation Learning
Authors: Bo Wan, Yongfei Liu, Desen Zhou, Tinne Tuytelaars, Xuming He
Affiliations: KU Leuven, Leuven, Belgium; ShanghaiTech University, Shanghai, China; ShanghaiTech University, Shanghai, China; Shanghai Engineering Research Center of Intelligent Vision and Imaging
Conference: iclr 2023 (main track)
Keywords: HOI Detection;Weakly-supervised Learning;CLIP-guided Representation Learning
Decision: Poster
Title: Gray-Box Gaussian Processes for Automated Reinforcement Learning
Authors: Gresa Shala, André Biedenkapp, Frank Hutter, Josif Grabocka
Affiliations: Department of Computer Science, University of Freiburg; Department of Computer Science, University of Freiburg and Bosch Center for Artificial Intelligence
Conference: iclr 2023 (main track)
Decision: Poster
Title: The Trade-off between Universality and Label Efficiency of Representations from Contrastive Learning
Authors: Zhenmei Shi, Jiefeng Chen, Kunyang Li, Jayaram Raghuram, Xi Wu, Yingyu Liang, Somesh Jha
Affiliations: University of Wisconsin-Madison; Google LLC; University of Wisconsin-Madison, XaiPient
Conference: iclr 2023 (main track)
Keywords: Contrastive Learning;Self-Supervised Learning;Foundation Model;Complexity
Decision: Top-25%
Title: ZiCo: Zero-shot NAS via inverse Coefficient of Variation on Gradients
Authors: Guihong Li, Yuedong Yang, Kartikeya Bhardwaj, Radu Marculescu
Affiliations: Qualcomm; The University of Texas at Austin
Conference: iclr 2023 (main track)
Keywords: Neural Architecture Search;Zero-shot NAS;Gradient Analysis;Training Convergence
Decision: Top-25%
Title: PowerQuant: Automorphism Search for Non-Uniform Quantization
Authors: Edouard YVINEC, Arnaud Dapogny, MATTHIEU CORD, Kevin Bailly
Affiliations: Datakalab2, 114 boulevard Malesherbes, 75017 Paris, France; Sorbonne Universit ´e1, CNRS, ISIR, f-75005, 4 Place Jussieu 75005 Paris, France
Conference: iclr 2023 (main track)
Keywords: deep learning;quantization;compression;acceleration;data-free
Decision: Poster
Title: Explicit Box Detection Unifies End-to-End Multi-Person Pose Estimation
Authors: Jie Yang, Ailing Zeng, Shilong Liu, Feng Li, Ruimao Zhang, Lei Zhang
Affiliations: Shenzhen Research Institute of Big Data, The Chinese University of Hong Kong, Shenzhen; International Digital Economy Academy (IDEA) and Shenzhen Research Institute of Big Data, The Chinese University of Hong Kong, Shenzhen; International Digital Economy Academy (IDEA)
Conference: iclr 2023 (main track)
Keywords: Multi-person Pose Estimation
Decision: Poster
Title: M-L2O: Towards Generalizable Learning-to-Optimize by Test-Time Fast Self-Adaptation
Authors: Junjie Yang, Xuxi Chen, Tianlong Chen, Zhangyang Wang, Yingbin Liang
Affiliations: The Ohio State University; University of Texas at Austin
Conference: iclr 2023 (main track)
Keywords: L2O;Meta Learning;Generalization
Decision: Poster
Title: Probabilistically Robust Recourse: Navigating the Trade-offs between Costs and Robustness in Algorithmic Recourse
Authors: Martin Pawelczyk, Teresa Datta, Johan Van den Heuvel, Gjergji Kasneci, Hima Lakkaraju
Affiliations: Harvard University, US; University of Tübingen, Germany
Conference: iclr 2023 (main track)
Keywords: Counterfactual explanations;algorithmic recourse;explainability
Decision: Poster
Title: Few-shot Cross-domain Image Generation via Inference-time Latent-code Learning
Authors: Arnab Mondal, Piyush Tiwary, Parag Singla, Prathosh AP
Affiliations: IISc Benglauru; IIT Delhi
Conference: iclr 2023 (main track)
Keywords: generative domain adaptation;generative adversarial network
Decision: Top-25%
Title: Scaleformer: Iterative Multi-scale Refining Transformers for Time Series Forecasting
Authors: Mohammad Amin Shabani, Amir Abdi, Lili Meng, Tristan Sylvain
Affiliations: Borealis AI, Canada; Simon Fraser University, Canada & Borealis AI, Canada
Conference: iclr 2023 (main track)
Keywords: Time-series forecasting;Transformers
Decision: Poster
Title: How Informative is the Approximation Error from Tensor Decomposition for Neural Network Compression?
Authors: Jetze Schuurmans, kim batselier, Julian Kooij
Affiliations: Delft Center for Systems and Control (DCSC), 3mE Faculty, TU Delft, The Netherlands; Cognitive Robotics Department (CoR), 3mE Faculty, TU Delft, The Netherlands; Cognitive Robotics Department (CoR), Delft Center for Systems and Control (DCSC), 3mE Faculty, TU Delft, The Netherlands
Conference: iclr 2023 (main track)
Keywords: Tensor Decomposition;Convolutional Neural Networks;Compression
Decision: Poster
Title: MAESTRO: Open-Ended Environment Design for Multi-Agent Reinforcement Learning
Authors: Mikayel Samvelyan, Akbir Khan, Michael Dennis, Minqi Jiang, Jack Parker-Holder, Jakob Foerster, Roberta Raileanu, Tim Rocktaeschel
Affiliations: Meta AI; University of Oxford; University College London; UC Berkeley
Conference: iclr 2023 (main track)
Keywords: reinforcement learning;multi-agent learning;unsupervised environment design
Decision: Poster
Title: E3Bind: An End-to-End Equivariant Network for Protein-Ligand Docking
Authors: Yangtian Zhang, Huiyu Cai, Chence Shi, Jian Tang
Affiliations: Mila - Quebec AI Institute, Universite de Montreal, Canada; Mila - Quebec AI Institute, HEC Montreal, Canada, CIFAR AI Research Chair
Conference: iclr 2023 (main track)
Keywords: protein-ligand docking;end-to-end training;iterative refinement framework;geometric deep learning
Decision: Poster
Title: Is Conditional Generative Modeling all you need for Decision Making?
Authors: Anurag Ajay, Yilun Du, Abhi Gupta, Joshua B Tenenbaum, Tommi Jaakkola, Pulkit Agrawal
Affiliations: Computer Science and Artificial Intelligence Lab, Massachusetts Institute of Technology; Massachusetts Institute of Technology; Improbable AI Lab, Massachusetts Institute of Technology; Operations Research Center, Massachusetts Institute of Technology
Conference: iclr 2023 (main track)
Keywords: Offline Reinforcement Learning;Conditional Generative Modeling;Sequential Decision Making;Diffusion Models
Decision: Top-5%
Title: Ollivier-Ricci Curvature for Hypergraphs: A Unified Framework
Authors: Corinna Coupette, Sebastian Dalleiger, Bastian Rieck
Affiliations: Technical University of Munich (TUM); AIDOS Lab, Institute of AI for Health, Helmholtz Munich; CISPA Helmholtz Center for Information Security; Max Planck Institute for Informatics
Conference: iclr 2023 (main track)
Keywords: curvature;hypergraphs;graphs;Wasserstein distance;topological data analysis;random walks;probability measure
Decision: Poster
Title: Temporal Disentanglement of Representations for Improved Generalisation in Reinforcement Learning
Authors: Mhairi Dunion, Trevor McInroe, Kevin Sebastian Luck, Josiah Hanna, Stefano Albrecht
Affiliations: Aalto University; University of Wisconsin – Madison; University of Edinburgh
Conference: iclr 2023 (main track)
Keywords: Reinforcement Learning;Representation Learning;Disentanglement
Decision: Poster
Title: Investigating Multi-task Pretraining and Generalization in Reinforcement Learning
Authors: Adrien Ali Taiga, Rishabh Agarwal, Jesse Farebrother, Aaron Courville, Marc G Bellemare
Affiliations: MILA, Université de Montréal; MILA, Université de Montréal; Google Brain; Mila, McGill University; Google Brain; Google Brain
Conference: iclr 2023 (main track)
Keywords: generalization;transfer;atari
Decision: Poster
Title: Learning Adversarial Linear Mixture Markov Decision Processes with Bandit Feedback and Unknown Transition
Authors: Canzhe Zhao, Ruofeng Yang, Baoxiang Wang, Shuai Li
Affiliations: John Hopcroft Center for Computer Science, Shanghai Jiao Tong University; School of Data Science, The Chinese University of Hong Kong, Shenzhen
Conference: iclr 2023 (main track)
Keywords: Reinforcement learning theory;Reinforcement learning with adversarial losses;Reinforcement learning with linear function approximation
Decision: Poster
Title: Budgeted Training for Vision Transformer
Authors: Zhuofan Xia, Xuran Pan, Xuan Jin, Yuan He, Hui Xue', Shiji Song, Gao Huang
Affiliations: Department of Automation, BNRist, Tsinghua University, Beijing, China; Department of Automation, BNRist, Tsinghua University, Beijing, China; Beijing Academy of Artificial Intelligence, Beijing, China; Alibaba Group, Hangzhou, China
Conference: iclr 2023 (main track)
Decision: Poster
Title: Long-Tailed Partial Label Learning via Dynamic Rebalancing
Authors: Feng Hong, Jiangchao Yao, Zhihan Zhou, Ya Zhang, Yanfeng Wang
Affiliations: Cooperative Medianet Innovation Center, Shanghai Jiao Tong University; Shanghai AI Laboratory; Cooperative Medianet Innovation Center, Shanghai Jiao Tong University
Conference: iclr 2023 (main track)
Keywords: long-tailed learning;partial label learning
Decision: Poster
Title: TVSPrune - Pruning Non-discriminative filters via Total Variation separability of intermediate representations without fine tuning
Authors: Chaitanya Murti, Tanay Narshana, Chiranjib Bhattacharyya
Affiliations: Department of Computer Science and Automation, Indian Institute of Science; Observe.AI; Robert Bosch Centre for Cyber-Physical Systems, Indian Institute of Science
Conference: iclr 2023 (main track)
Keywords: Structured pruning;model compression
Decision: Poster
Title: Accurate Bayesian Meta-Learning by Accurate Task Posterior Inference
Authors: Michael Volpp, Philipp Dahlinger, Philipp Becker, Christian Daniel, Gerhard Neumann
Affiliations: Karlsruhe Institute of Technology, Karlsruhe, Germany; Bosch Center for Artificial Intelligence, Renningen, Germany; Karlsruhe Institute of Technology, Karlsruhe, Germany; Bosch Center for Artificial Intelligence, Renningen, Germany
Conference: iclr 2023 (main track)
Keywords: Bayesian Meta-Learning;Neural Processes;Variational Inference
Decision: Poster
Title: Gromov-Wasserstein Autoencoders
Authors: Nao Nakagawa, Ren Togo, Takahiro Ogawa, Miki Haseyama
Affiliations: Faculty of Information Science and Technology, Hokkaido University, Japan; Graduate School of Information Science and Technology, Hokkaido University, Japan
Conference: iclr 2023 (main track)
Keywords: representation learning;deep generative models;variational autoencoders;optimal transport;implicit distributions;meta-prior;disentanglement;clustering
Decision: Poster
Title: Can discrete information extraction prompts generalize across language models?
Authors: Nathanaël Carraz Rakotonirina, Roberto Dessi, Fabio Petroni, Sebastian Riedel, Marco Baroni
Affiliations: Meta AI, Universitat Pompeu Fabra; University College London; Universitat Pompeu Fabra; ICREA, Universitat Pompeu Fabra; Samaya AI
Conference: iclr 2023 (main track)
Keywords: prompting;prompt analysis;language model interfaces;prompt generalizations
Decision: Poster
Title: Impossibly Good Experts and How to Follow Them
Authors: Aaron Walsman, Muru Zhang, Sanjiban Choudhury, Dieter Fox, Ali Farhadi
Affiliations: Computer Science, Cornell University; Computer Science and Engineering, University of Washington; Computer Science and Engineering, University of Washington and NVIDIA
Conference: iclr 2023 (main track)
Keywords: Imitation Learning;Reinforcement Learning;Experts;Distillation
Decision: Poster
Title: Broken Neural Scaling Laws
Authors: Ethan Caballero, Kshitij Gupta, Irina Rish, David Krueger
Affiliations: Mila, University of Montreal; University of Cambridge; Mila, McGill University
Conference: iclr 2023 (main track)
Keywords: Scaling Laws;Scaling;Scale;Big Learning;Deep Learning;Artificial Neural Networks
Decision: Poster
Title: Semi-Implicit Variational Inference via Score Matching
Authors: Longlin Yu, Cheng Zhang
Affiliations: School of Mathematical Sciences and Center for Statistical Science, Peking University, Beijing, China; School of Mathematical Sciences, Peking University, Beijing, China
Conference: iclr 2023 (main track)
Keywords: Semi-implicit variational inference;denoising score matching;minimax optimization
Decision: Top-25%
Title: MMVAE+: Enhancing the Generative Quality of Multimodal VAEs without Compromises
Authors: Emanuele Palumbo, Imant Daunhawer, Julia E Vogt
Affiliations: Department of Computer Science, ETH Zürich, Switzerland; ETH AI Center, Zürich, Switzerland; Department of Computer Science, ETH Zürich, Switzerland
Conference: iclr 2023 (main track)
Keywords: Multimodal Variational Autoencoder;Variational Autoencoder;Multimodal Generative Learning
Decision: Poster
Title: Anisotropic Message Passing: Graph Neural Networks with Directional and Long-Range Interactions
Authors: Moritz Thürlemann, Sereina Riniker
Affiliations: Department of Chemistry and Applied Biosciences, ETH Zürich, Vladimir-Prelog-Weg 2, 8093 Zürich, Switzerland
Conference: iclr 2023 (main track)
Keywords: Message Passing;Graph Neural Networks;Directional;Long-Range;Equivariant;Quantum Chemistry;QM/MM
Decision: Poster
Title: Why (and When) does Local SGD Generalize Better than SGD?
Authors: Xinran Gu, Kaifeng Lyu, Longbo Huang, Sanjeev Arora
Affiliations: Institute for Interdisciplinary Information Sciences, Tsinghua University; Department of Computer Science, Princeton University
Conference: iclr 2023 (main track)
Keywords: local SGD;SDE;regularization;implicit bias;deep learning theory;optimization;distributed training
Decision: Poster
Title: PASHA: Efficient HPO and NAS with Progressive Resource Allocation
Authors: Ondrej Bohdal, Lukas Balles, Martin Wistuba, Beyza Ermis, Cedric Archambeau, Giovanni Zappella
Affiliations: AWS, Berlin; The University of Edinburgh; Cohere for AI
Conference: iclr 2023 (main track)
Keywords: Neural architecture search;Hyperparameter optimization;Large datasets;Computational efficiency;Cost
Decision: Poster
Title: PatchDCT: Patch Refinement for High Quality Instance Segmentation
Authors: Qinrou Wen, Jirui Yang, Xue Yang, Kewei Liang
Affiliations: Department of CSE, MoE Key Lab of Artificial Intelligence, Shanghai Jiao Tong University; Alibaba Group; School of Mathematical Sciences, Zhejiang University
Conference: iclr 2023 (main track)
Keywords: Instance Segmentation
Decision: Poster