hunoutl/paperlists huggingface dataset:
Title: PaLI: A Jointly-Scaled Multilingual Language-Image Model
Authors: Xi Chen, Xiao Wang, Soravit Changpinyo, AJ Piergiovanni, Piotr Padlewski, Daniel Salz, Sebastian Goodman, Adam Grycner, Basil Mustafa, Lucas Beyer, Alexander Kolesnikov, Joan Puigcerver, Nan Ding, Keran Rong, Hassan Akbari, Gaurav Mishra, Linting Xue, Ashish Thapliyal, James Bradbury, Weicheng Kuo, Mojtaba Seyedhosseini, Chao Jia, Burcu Karagol Ayan, Carlos Riquelme, Andreas Steiner, Anelia Angelova, Xiaohua Zhai, Neil Houlsby, Radu Soricut
Affiliations: Google Research
Conference: iclr 2023 (main track)
Decision: Top-5%
Title: Neural Radiance Field Codebooks
Authors: Matthew Wallingford, Aditya Kusupati, Alex Fang, Vivek Ramanujan, Aniruddha Kembhavi, Roozbeh Mottaghi, Ali Farhadi
Affiliations: University of Washington; PRIOR, Allen Institute for AI
Conference: iclr 2023 (main track)
Keywords: Object-Centric Representation Learning;Representation Learning;Neural Radiance Fields
Decision: Poster
Title: Unsupervised 3D Object Learning through Neuron Activity aware Plasticity
Authors: Beomseok Kang, Biswadeep Chakraborty, Saibal Mukhopadhyay
Affiliations: School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA 30332, USA
Conference: iclr 2023 (main track)
Keywords: Hebbian learning
Decision: Poster
Title: Continual Pre-training of Language Models
Authors: Zixuan Ke, Yijia Shao, Haowei Lin, Tatsuya Konishi, Gyuhak Kim, Bing Liu
Affiliations: Department of Computer Science, University of Illinois at Chicago; KDDI Research; Wangxuan Institute of Computer Technology, Peking University
Conference: iclr 2023 (main track)
Keywords: Continual learning;Domain-adaptive Pretraining;Post-training
Decision: Poster
Title: A CMDP-within-online framework for Meta-Safe Reinforcement Learning
Authors: Vanshaj Khattar, Yuhao Ding, Bilgehan Sel, Javad Lavaei, Ming Jin
Affiliations: Virginia Tech; UC Berkeley
Conference: iclr 2023 (main track)
Keywords: Meta-Reinforcement learning;Constrained MDPs;online learning;safe RL;dynamic regret
Decision: Top-25%
Title: EAGLE: Large-scale Learning of Turbulent Fluid Dynamics with Mesh Transformers
Authors: Steeven Janny, Aurélien Bénéteau, Madiha Nadri, Julie Digne, Nicolas THOME, Christian Wolf
Affiliations: SupAero, France; LIRIS, CNRS, France; LIRIS, INSA Lyon, France; Naver Labs Europe, France; LAGEPP, Univ. Lyon 1, France; Sorbonne University, CNRS, ISIR, Paris, France
Conference: iclr 2023 (main track)
Keywords: Learning Fluid Mechanics;Simulation;Graph networks
Decision: Poster
Title: DFPC: Data flow driven pruning of coupled channels without data.
Authors: Tanay Narshana, Chaitanya Murti, 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: Pruning;Data Free;Model Compression
Decision: Poster
Title: Learning Object-Language Alignments for Open-Vocabulary Object Detection
Authors: Chuang Lin, Peize Sun, Yi Jiang, Ping Luo, Lizhen Qu, Gholamreza Haffari, Zehuan Yuan, Jianfei Cai
Affiliations: The University of Hong Kong; Monash University; ByteDance
Conference: iclr 2023 (main track)
Decision: Poster
Title: Efficiently Computing Nash Equilibria in Adversarial Team Markov Games
Authors: Foivos Kalogiannis, Ioannis Anagnostides, Ioannis Panageas, Emmanouil-Vasileios Vlatakis-Gkaragkounis, Vaggos Chatziafratis, Stelios Stavroulakis
Affiliations: UC Irvine; Carnegie Mellon University; UC Santa Cruz; Columbia University
Conference: iclr 2023 (main track)
Keywords: multiagent-reinforcement-learning.marl;rl;reinforcement-learning;learning-in-games;optimization;game-theory;policy-gradient
Decision: Top-5%
Title: Unveiling the sampling density in non-uniform geometric graphs
Authors: Raffaele Paolino, Aleksandar Bojchevski, Stephan Günnemann, Gitta Kutyniok, Ron Levie
Affiliations: Faculty of Mathematics, Technion – Israel Institute of Technology; Department of Computer Science & Munich Data Science Institute, Technical University of Munich; CISPA Helmholtz Center for Information Security; Department of Mathematics & Munich Center for Machine Learning (MCML), Ludwig-Maximilians-Universit ¨at M ¨unchen
Conference: iclr 2023 (main track)
Keywords: graph neural network;graph representation learning;spectral method;non-uniform sampling;geometric graph;graphon
Decision: Poster
Title: Max-Margin Works while Large Margin Fails: Generalization without Uniform Convergence
Authors: Margalit Glasgow, Colin Wei, Mary Wootters, Tengyu Ma
Affiliations: Department of Computer Science, Stanford University, Stanford, CA 94305, USA
Conference: iclr 2023 (main track)
Keywords: generalization;uniform convergence;overparameterization;learning theory;max-margin;two-layer neural network
Decision: Poster
Title: Partially Observable RL with B-Stability: Unified Structural Condition and Sharp Sample-Efficient Algorithms
Authors: Fan Chen, Yu Bai, Song Mei
Affiliations: Salesforce Research; Peking University; UC Berkeley
Conference: iclr 2023 (main track)
Keywords: reinforcement learning theory;POMDPs;predictive state representations;partially observable reinforcement learning
Decision: Top-25%
Title: ArCL: Enhancing Contrastive Learning with Augmentation-Robust Representations
Authors: Xuyang Zhao, Tianqi Du, Yisen Wang, Jun Yao, Weiran Huang
Affiliations: Huawei Noah’s Ark Lab; School of Mathematical Sciences, Peking University; National Key Lab of General Artificial Intelligence, School of Intelligence Science and Technology, Peking University; National Key Lab of General Artificial Intelligence, School of Intelligence Science and Technology, Peking University; Institute for Artificial Intelligence, Peking University; School of Mathematical Sciences, Peking University; Qing Yuan Research Institute, Shanghai Jiao Tong University; Qing Yuan Research Institute, Shanghai Jiao Tong University
Conference: iclr 2023 (main track)
Keywords: Contrastive learning;out-of-distribution generalization
Decision: Poster
Title: Zeroth-Order Optimization with Trajectory-Informed Derivative Estimation
Authors: Yao Shu, Zhongxiang Dai, Weicong Sng, Arun Verma, Patrick Jaillet, Bryan Kian Hsiang Low
Affiliations: Dept. of Computer Science, National University of Singapore, Republic of Singapore; Dept. of Electrical Engineering and Computer Science, MIT, USA
Conference: iclr 2023 (main track)
Keywords: zeroth-order optimization;derivative estimation;finite difference
Decision: Poster
Title: TANGOS: Regularizing Tabular Neural Networks through Gradient Orthogonalization and Specialization
Authors: Alan Jeffares, Tennison Liu, Jonathan Crabbé, Fergus Imrie, Mihaela van der Schaar
Affiliations: University of California, Los Angeles; University of Cambridge; University of Cambridge, Alan Turing Institute
Conference: iclr 2023 (main track)
Keywords: Deep Learning;Tabular Data;Regularization
Decision: Poster
Title: An Extensible Multi-modal Multi-task Object Dataset with Materials
Authors: Trevor Standley, Ruohan Gao, Dawn Chen, Jiajun Wu, Silvio Savarese
Affiliations: Stanford University; Stanford University, Salesforce Research; Google Inc.
Conference: iclr 2023 (main track)
Keywords: Multi-task;multi-modal;dataset;materials;weak supervision
Decision: Poster
Title: DiffusER: Diffusion via Edit-based Reconstruction
Authors: Machel Reid, Vincent Hellendoorn, Graham Neubig
Affiliations: Software and Societal Systems Department, Carnegie Mellon University; Language Technologies Institute, Carnegie Mellon University, Inspired Cognition; Google Research∗
Conference: iclr 2023 (main track)
Keywords: text generation;editing;denoising autoencoders
Decision: Poster
Title: Backpropagation at the Infinitesimal Inference Limit of Energy-Based Models: Unifying Predictive Coding, Equilibrium Propagation, and Contrastive Hebbian Learning
Authors: Beren Millidge, Yuhang Song, Tommaso Salvatori, Thomas Lukasiewicz, Rafal Bogacz
Affiliations: TU Wien, Austria; University of Oxford, UK; MRC Brain Network Dynamics Unit, University of Oxford, UK; Institute of Logic and Computation, TU Wien, Austria
Conference: iclr 2023 (main track)
Keywords: predictive coding;equilibrium propagation;contrastive hebbian learning;backprop;machine learning;computational neuroscience
Decision: Poster
Title: Make-A-Video: Text-to-Video Generation without Text-Video Data
Authors: Uriel Singer, Adam Polyak, Thomas Hayes, Xi Yin, Jie An, Songyang Zhang, Qiyuan Hu, Harry Yang, Oron Ashual, Oran Gafni, Devi Parikh, Sonal Gupta, Yaniv Taigman
Affiliations: Meta AI; University of Rochester (work done during internship at Meta)
Conference: iclr 2023 (main track)
Decision: Poster
Title: Minimalistic Unsupervised Representation Learning with the Sparse Manifold Transform
Authors: Yubei Chen, Zeyu Yun, Yi Ma, Bruno Olshausen, Yann LeCun
Affiliations: EECS Dept., Redwood Center, Helen Wills Neuroscience Inst., UC Berkeley; Meta AI, Center for Data Science, Courant Institute, New York University
Conference: iclr 2023 (main track)
Keywords: Unsupervised Learning;Sparsity;Low-rank;Manifold learning;Spectral Embedding
Decision: Top-25%
Title: Decompose to Generalize: Species-Generalized Animal Pose Estimation
Authors: guangrui li, Yifan Sun, Zongxin Yang, Yi Yang
Affiliations: ReLER, AAII, University of Technology Sydney and Baidu Inc.; CCAI, College of Computer Science and Technology, Zhejiang University.; Baidu Inc.
Conference: iclr 2023 (main track)
Keywords: Pose Estimation;Domain Generalization;Transfer Learning
Decision: Poster
Title: IS SYNTHETIC DATA FROM GENERATIVE MODELS READY FOR IMAGE RECOGNITION?
Authors: Ruifei He, Shuyang Sun, Xin Yu, Chuhui Xue, Wenqing Zhang, Philip Torr, Song Bai, XIAOJUAN QI
Affiliations: The University of Hong Kong; University of Oxford; ByteDance
Conference: iclr 2023 (main track)
Keywords: data generation;image recognition;text-to-image synthesis
Decision: Top-25%
Title: Composite Slice Transformer: An Efficient Transformer with Composition of Multi-Scale Multi-Range Attentions
Authors: Mingu Lee, Saurabh Pitre, Tianyu Jiang, Pierre-David Letourneau, Matthew Morse, Kanghwan Jang, Joseph Soriaga, Parham Noorzad, Hsin-Pai Cheng, Christopher Lott
Affiliations: Qualcomm AI Research; Qualcomm Technologies Inc.
Conference: iclr 2023 (main track)
Keywords: transformer;efficient transformer;efficient attention
Decision: Poster
Title: Amortised Invariance Learning for Contrastive Self-Supervision
Authors: Ruchika Chavhan, Jan Stuehmer, Calum Heggan, Mehrdad Yaghoobi, Timothy Hospedales
Affiliations: University of Edinburgh, Samsung AI Research Centre, Cambridge; University of Edinburgh; Karlsruhe Institute of Technology, Heidelberg Institute for Theoretical Studies
Conference: iclr 2023 (main track)
Decision: Poster
Title: Learning ReLU networks to high uniform accuracy is intractable
Authors: Julius Berner, Philipp Grohs, Felix Voigtlaender
Affiliations: Mathematical Institute for Machine Learning and Data Science (MIDS), Catholic University of Eichstätt-Ingolstadt, Germany; Faculty of Mathematics, University of Vienna, Austria; Research Network Data Science @ Uni Vienna, University of Vienna, Austria
Conference: iclr 2023 (main track)
Keywords: learning theory;ReLU networks;hardness results;sample complexity;teacher-student learning
Decision: Poster
Title: Extremely Simple Activation Shaping for Out-of-Distribution Detection
Authors: Andrija Djurisic, Nebojsa Bozanic, Arjun Ashok, Rosanne Liu
Affiliations: 3Google Research, Brain Team; 1ML Collective; 2Faculty of Technical Sciences, University of Novi Sad
Conference: iclr 2023 (main track)
Keywords: out-of-distribution;out-of-distribution detection;activation pruning;post hoc;sparsity;activation shaping
Decision: Poster
Title: SCALE-UP: An Efficient Black-box Input-level Backdoor Detection via Analyzing Scaled Prediction Consistency
Authors: Junfeng Guo, Yiming Li, Xun Chen, Hanqing Guo, Lichao Sun, Cong Liu
Affiliations: Department of Computer Science, Michigan State University; Department of Computer Science, Lehigh University; Samsung Research America, Mountain View; Department of Electricity and Computer Engineering Department, UC Riverside; Department of Computer Science, UT Dallas; Tsinghua Shenzhen International Graduate School, Tsinghua University
Conference: iclr 2023 (main track)
Keywords: Backdoor Detection;Backdoor Defense;Backdoor Learning;AI Security;Deep Learning
Decision: Poster
Title: LS-IQ: Implicit Reward Regularization for Inverse Reinforcement Learning
Authors: Firas Al-Hafez, Davide Tateo, Oleg Arenz, Guoping Zhao, Jan Peters
Affiliations: Intelligent Autonomous Systems, TU Darmstadt, Germany; German Research Center for AI (DFKI), Centre for Cognitive Science, Hessian.AI, TU Darmstadt, Germany; Locomotion Laboratory, TU Darmstadt, Germany
Conference: iclr 2023 (main track)
Keywords: Inverse Reinforcement Learning;Imitation Learning;Reward Regularization;Deep Reinforcement Learning
Decision: Poster
Title: PV3D: A 3D Generative Model for Portrait Video Generation
Authors: Eric Zhongcong Xu, Jianfeng Zhang, Jun Hao Liew, Wenqing Zhang, Song Bai, Jiashi Feng, Mike Zheng Shou
Affiliations: Show Lab, National University of Singapore; ByteDance
Conference: iclr 2023 (main track)
Decision: Poster
Title: Time to augment self-supervised visual representation learning
Authors: Arthur Aubret, Markus Ernst, Céline Teulière, Jochen Triesch
Affiliations: Clermont Auvergne Université, CNRS, Clermont Auvergne INP, Institut Pascal; Frankfurt Institute for Advanced Studies
Conference: iclr 2023 (main track)
Keywords: object representations;self-supervised learning;time-based augmentations;data augmentations
Decision: Poster
Title: Concept-level Debugging of Part-Prototype Networks
Authors: Andrea Bontempelli, Stefano Teso, Katya Tentori, Fausto Giunchiglia, Andrea Passerini
Affiliations: DISI, University of Trento; DIPSCO, University of Trento; CIMeC, University of Trento
Conference: iclr 2023 (main track)
Keywords: explainability;debugging;self-explainable networks;part-prototype networks;concept-based models
Decision: Top-25%
Title: Clifford Neural Layers for PDE Modeling
Authors: Johannes Brandstetter, Rianne van den Berg, Max Welling, Jayesh Gupta
Affiliations: Microsoft Research AI4Science; Microsoft Autonomous Systems and Robotics Research
Conference: iclr 2023 (main track)
Keywords: Geometric Deep Learning;PDE modeling;multivector fields;Clifford algebra;Clifford convolution;Clifford Fourier transform
Decision: Poster
Title: Exploring the Limits of Differentially Private Deep Learning with Group-wise Clipping
Authors: Jiyan He, Xuechen Li, Da Yu, Huishuai Zhang, Janardhan Kulkarni, Yin Tat Lee, Arturs Backurs, Nenghai Yu, Jiang Bian
Conference: iclr 2023 (main track)
Keywords: differential privacy;per-layer clipping;efficiency;DP-SGD
Decision: Poster
Title: $\Lambda$-DARTS: Mitigating Performance Collapse by Harmonizing Operation Selection among Cells
Authors: Sajad Movahedi, Melika Adabinejad, Ayyoob Imani, Arezou Keshavarz, Mostafa Dehghani, Azadeh Shakery, Babak Araabi
Conference: iclr 2023 (main track)
Decision: Poster
Title: KwikBucks: Correlation Clustering with Cheap-Weak and Expensive-Strong Signals
Authors: Sandeep Silwal, Sara Ahmadian, Andrew Nystrom, Andrew McCallum, Deepak Ramachandran, Seyed Mehran Kazemi
Conference: iclr 2023 (main track)
Keywords: correlation clustering;text clustering;learning-augmented algorithms;weak and strong signals;query efficient clustering;query efficient;budgeted clustering
Decision: Poster
Title: What Can we Learn From The Selective Prediction And Uncertainty Estimation Performance Of 523 Imagenet Classifiers?
Authors: Ido Galil, Mohammed Dabbah, Ran El-Yaniv
Affiliations: Technion; Amazon; Technion, Deci.AI
Conference: iclr 2023 (main track)
Keywords: selective prediction;selective classification;reject option;risk coverage trade-off;deep learning;neural networks
Decision: Poster
Title: Quantile Risk Control: A Flexible Framework for Bounding the Probability of High-Loss Predictions
Authors: Jake Snell, Thomas Zollo, Zhun Deng, Toniann Pitassi, Richard Zemel
Affiliations: Princeton University; Columbia University & University of Toronto; Columbia University
Conference: iclr 2023 (main track)
Keywords: distribution-free uncertainty quantification
Decision: Poster
Title: Understanding Edge-of-Stability Training Dynamics with a Minimalist Example
Authors: Xingyu Zhu, Zixuan Wang, Xiang Wang, Mo Zhou, Rong Ge
Affiliations: Duke University; Tsinghua University
Conference: iclr 2023 (main track)
Keywords: edge of stability;nonconvex optimization;gradient descent;training dynamics;scalar network
Decision: Poster
Title: One-Pixel Shortcut: On the Learning Preference of Deep Neural Networks
Authors: Shutong Wu, Sizhe Chen, Cihang Xie, Xiaolin Huang
Affiliations: Department of Automation, Shanghai Jiao Tong University; Computer Science and Engineering, University of California, Santa Cruz
Conference: iclr 2023 (main track)
Keywords: unlearnable examples;shortcut learning;one-pixel feature;deep neural network
Decision: Top-25%
Title: DensePure: Understanding Diffusion Models for Adversarial Robustness
Authors: Chaowei Xiao, Zhongzhu Chen, Kun Jin, Jiongxiao Wang, Weili Nie, Mingyan Liu, anima anandkumar, Bo Li, Dawn Song
Affiliations: University of Michigan, Ann Arbor; NVIDIA; NVIDIA, Caltech; ASU; UIUC; UC Berkeley
Conference: iclr 2023 (main track)
Keywords: adversarial robustness;certified robustness;diffusion model
Decision: Poster
Title: Neural Architecture Design and Robustness: A Dataset
Authors: Steffen Jung, Jovita Lukasik, Margret Keuper
Affiliations: Max Planck Institute for Informatics, Saarland Informatics Campus; Max Planck Institute for Informatics, Saarland Informatics Campus; University of Siegen
Conference: iclr 2023 (main track)
Keywords: dataset;robustness;architecture design
Decision: Poster
Title: A GNN-Guided Predict-and-Search Framework for Mixed-Integer Linear Programming
Authors: Qingyu Han, Linxin Yang, Qian Chen, Xiang ZHOU, dong zhang, Akang Wang, Ruoyu Sun, Xiaodong Luo
Affiliations: School of Science and Engineering, The Chinese University of Hong Kong, Shenzhen, China; Shenzhen International Center For Industrial and Applied Mathematics, Shenzhen Research Institute of Big Data, China; School of Data Science, The Chinese University of Hong Kong, Shenzhen, China; Shenzhen Research Institute of Big Data, China; Shenzhen Research Institute of Big Data, China; Shandong University, China; Huawei, China; Shenzhen Research Institute of Big Data, China; School of Data Science, The Chinese University of Hong Kong, Shenzhen, China
Conference: iclr 2023 (main track)
Decision: Poster
Title: Beyond Lipschitz: Sharp Generalization and Excess Risk Bounds for Full-Batch GD
Authors: Konstantinos Nikolakakis, Farzin Haddadpour, Amin Karbasi, Dionysios Kalogerias
Affiliations: Yale University & Google Research1; Yale University; Department of Electrical Engineering, Yale University
Conference: iclr 2023 (main track)
Keywords: Gradient Descent;Generalization Error;Smooth Nonconvex/Convex Optimization
Decision: Poster
Title: Protein Sequence and Structure Co-Design with Equivariant Translation
Authors: Chence Shi, Chuanrui Wang, Jiarui Lu, Bozitao Zhong, Jian Tang
Affiliations: BioGeometry, Mila - Québec AI Institute, Université de Montréal, HEC Montréal, CIFAR AI Research Chair; BioGeometry, Mila - Québec AI Institute, Université de Montréal; Mila - Québec AI Institute, Université de Montréal
Conference: iclr 2023 (main track)
Keywords: protein design;sequence structure co-design;equivariant translation;geometric deep learning
Decision: Poster
Title: Taking a Step Back with KCal: Multi-Class Kernel-Based Calibration for Deep Neural Networks
Authors: Zhen Lin, Shubhendu Trivedi, Jimeng Sun
Affiliations: Department of Computer Science, University of Illinois at Urbana-Champaign and Carle Illinois College of Medicine, University of Illinois at Urbana-Champaign; CSAIL, MIT; Department of Computer Science, University of Illinois at Urbana-Champaign
Conference: iclr 2023 (main track)
Keywords: Calibration;Kernel Density Estimation;Neural Networks;Healthcare;Classification
Decision: Poster
Title: Variance Reduction is an Antidote to Byzantines: Better Rates, Weaker Assumptions and Communication Compression as a Cherry on the Top
Authors: Eduard Gorbunov, Samuel Horváth, Peter Richtarik, Gauthier Gidel
Affiliations: MBZUAI, MIPT; Mila & UdeM, KAUST; Mila & UdeM; Canada CIFAR AI Chair; MBZUAI, KAUST; KAUST
Conference: iclr 2023 (main track)
Keywords: byzantine robustness;variance reduction;communication compression
Decision: Poster
Title: Function-Consistent Feature Distillation
Authors: Dongyang Liu, Meina Kan, Shiguang Shan, Xilin CHEN
Affiliations: Key Lab of Intell. Info. Process., Inst. of Comput. Tech., CAS; University of Chinese Academy of Sciences; Peng Cheng Laboratory; Key Lab of Intell. Info. Process., Inst. of Comput. Tech., CAS; University of Chinese Academy of Sciences
Conference: iclr 2023 (main track)
Keywords: knowledge distillation;feature distillation;function consistency
Decision: Poster
Title: Vision Transformer Adapter for Dense Predictions
Authors: Zhe Chen, Yuchen Duan, Wenhai Wang, Junjun He, Tong Lu, Jifeng Dai, Yu Qiao
Affiliations: Nanjing University, Shanghai AI Laboratory; Shanghai AI Laboratory; Shanghai AI Laboratory, Tsinghua University; Nanjing University
Conference: iclr 2023 (main track)
Keywords: Plain Vision Transformer;Adapter;Dense Prediction
Decision: Top-25%
Title: Cross-Layer Retrospective Retrieving via Layer Attention
Authors: Yanwen Fang, Yuxi Cai, Jintai Chen, Jingyu Zhao, Guangjian Tian, Guodong Li
Affiliations: Huawei Noah’s Ark Lab; College of Computer Science and Technology, Zhejiang University; Department of Statistics & Actuarial Science, The University of Hong Kong
Conference: iclr 2023 (main track)
Keywords: Layer Attention;Recurrent Layer Attention;Layer Interaction;CNNs;Vision Transformers;Vision Networks
Decision: Poster
Title: Learning Fast and Slow for Online Time Series Forecasting
Authors: Quang Pham, Chenghao Liu, Doyen Sahoo, Steven Hoi
Affiliations: Salesforce Research Asia; Institute for Infocomm Research (I2R), Agency for Science, Technology and Research (A*STAR); Salesforce Research Asia, School of Computing and Information Systems, Singapore Management University
Conference: iclr 2023 (main track)
Keywords: online time series forecasting;continual learning
Decision: Poster
Title: Learning on Large-scale Text-attributed Graphs via Variational Inference
Authors: Jianan Zhao, Meng Qu, Chaozhuo Li, Hao Yan, Qian Liu, Rui Li, Xing Xie, Jian Tang
Affiliations: Microsoft Research Asia; Central South University; Mila - Quebec AI Institute, Universite de Montreal; Sea AI Lab; Dalian University of Technology; Mila - Quebec AI Institute, HEC Montreal, Canadian Institute for Advanced Research (CIFAR)
Conference: iclr 2023 (main track)
Keywords: Language Model;Graph Neural Network;Node Classification
Decision: Top-5%
Title: Towards Effective and Interpretable Human-Agent Collaboration in MOBA Games: A Communication Perspective
Authors: Yiming Gao, Feiyu Liu, Liang Wang, Zhenjie Lian, Weixuan Wang, Siqin Li, Xianliang Wang, Xianhan Zeng, Rundong Wang, jiawei wang, QIANG FU, Yang Wei, Lanxiao Huang, Wei Liu
Affiliations: Tencent AI Lab, Shenzhen, China; Tencent TiMi L1 Studio, Chengdu, China
Conference: iclr 2023 (main track)
Keywords: game playing;multi-agent;human-ai communication;human-ai collaboration;deep reinforcement learning
Decision: Top-25%
Title: Matching receptor to odorant with protein language and graph neural networks
Authors: Matej Hladiš, Maxence Lalis, Sébastien Fiorucci, Jérémie Topin
Affiliations: Institut de Chimie de Nice, Université Côte d’Azur, UMR 7272 CNRS, France
Conference: iclr 2023 (main track)
Keywords: Olfaction;protein-ligand binding;olfactory receptors;computational biology;protein language modelling;graph neural networks
Decision: Poster