hunoutl/paperlists huggingface dataset:
Title: Near-optimal Policy Identification in Active Reinforcement Learning
Authors: Xiang Li, Viraj Mehta, Johannes Kirschner, Ian Char, Willie Neiswanger, Jeff Schneider, Andreas Krause, Ilija Bogunovic
Affiliations: ETH Zurich; Carnegie Mellon Uni.; Uni. College London; Stanford Uni.; Uni. of Alberta
Conference: iclr 2023 (main track)
Keywords: reinforcement learning;contextual bayesian optimization;kernelized least-squares value iteration
Decision: Top-5%
Title: Generative Modeling Helps Weak Supervision (and Vice Versa)
Authors: Benedikt Boecking, Nicholas Roberts, Willie Neiswanger, Stefano Ermon, Frederic Sala, Artur Dubrawski
Affiliations: Stanford University; Carnegie Mellon University; University of Wisconsin
Conference: iclr 2023 (main track)
Keywords: generative model;weak supervision
Decision: Poster
Title: Selection-Inference: Exploiting Large Language Models for Interpretable Logical Reasoning
Authors: Antonia Creswell, Murray Shanahan, Irina Higgins
Affiliations: DeepMind, London, UK
Conference: iclr 2023 (main track)
Keywords: System 2;Logical reasoning;Language Models;Large Language Models;Reasoning;Neuro-symbolic;Neural Symbolic;Interpretability
Decision: Top-5%
Title: Single-shot General Hyper-parameter Optimization for Federated Learning
Authors: Yi Zhou, Parikshit Ram, Theodoros Salonidis, Nathalie Baracaldo, Horst Samulowitz, Heiko Ludwig
Affiliations: IBM Research
Conference: iclr 2023 (main track)
Keywords: Federated Learning;Hyperparameter Optimization;Optimality Gap Analysis
Decision: Top-25%
Title: Differentially Private $L_2$-Heavy Hitters in the Sliding Window Model
Authors: Jeremiah Blocki, Seunghoon Lee, Tamalika Mukherjee, Samson Zhou
Affiliations: UC Berkeley and Rice University, Houston, TX 77005, USA; Purdue University, West Lafayette, IN 47906, USA
Conference: iclr 2023 (main track)
Keywords: differential privacy;heavy hitters;streaming algorithms;sliding window model
Decision: Top-25%
Title: Seeing Differently, Acting Similarly: Heterogeneously Observable Imitation Learning
Authors: Xinqiang Cai, Yao-Xiang Ding, Zixuan Chen, Yuan Jiang, Masashi Sugiyama, Zhi-Hua Zhou
Affiliations: State Key Laboratory for CAD&CG, Zhejiang University; National Key Laboratory for Novel Software Technology, Nanjing University; RIKEN Center for Advanced Intelligence Project
Conference: iclr 2023 (main track)
Keywords: Imitation Learning;Heterogeneous Observation;Importance Weighting;Learning with Rejection
Decision: Top-25%
Title: Variational Latent Branching Model for Off-Policy Evaluation
Authors: Qitong Gao, Ge Gao, Min Chi, Miroslav Pajic
Affiliations: North Carolina State University, USA; Duke University, USA
Conference: iclr 2023 (main track)
Keywords: Model-Based Off-policy Evaluation;Reinforcement Learning;Variational Inference
Decision: Poster
Title: Gradient Boosting Performs Gaussian Process Inference
Authors: Aleksei Ustimenko, Artem Beliakov, Liudmila Prokhorenkova
Affiliations: ShareChat, research@aleksei.uk; Yandex Research, ostroumova-la@yandex.com; Yandex Research, HSE University, belyakov.arteom2015@gmail.com
Conference: iclr 2023 (main track)
Keywords: gradient boosting;gaussian process;knowledge uncertainty;kernel gradient boosting
Decision: Poster
Title: StableDR: Stabilized Doubly Robust Learning for Recommendation on Data Missing Not at Random
Authors: Haoxuan Li, Chunyuan Zheng, Peng Wu
Affiliations: Beijing Technology and Business University; Peking University; University of California, San Diego
Conference: iclr 2023 (main track)
Keywords: Recommender System;Bias;Debias;Doubly Robust
Decision: Poster
Title: No Reason for No Supervision: Improved Generalization in Supervised Models
Authors: Mert Bulent Sariyildiz, Yannis Kalantidis, Karteek Alahari, Diane Larlus
Affiliations: NAVER LABS Europe; Univ. Grenoble Alpes, Inria, CNRS, Grenoble INP, LJK
Conference: iclr 2023 (main track)
Keywords: supervised learning;transfer learning;representation learning
Decision: Top-25%
Title: Unicom: Universal and Compact Representation Learning for Image Retrieval
Authors: xiang an, Jiankang Deng, Kaicheng Yang, Jaiwei Li, Ziyong Feng, Jia Guo, Jing Yang, Tongliang Liu
Affiliations: Huawei; DeepGlint; InsightFace; University of Sydney; University of Cambridge
Conference: iclr 2023 (main track)
Keywords: Cluster Discrimination;Image Retrieval
Decision: Poster
Title: FoSR: First-order spectral rewiring for addressing oversquashing in GNNs
Authors: Kedar Karhadkar, Pradeep Banerjee, Guido Montufar
Affiliations: MPI MiS; UCLA & MPI MiS; UCLA
Conference: iclr 2023 (main track)
Keywords: oversquashing;oversmoothing;graph rewiring;graph neural networks;GNN;relational GNN;spectral expansion
Decision: Poster
Title: Approximate Vanishing Ideal Computations at Scale
Authors: Elias Wirth, Hiroshi Kera, Sebastian Pokutta
Affiliations: Institute of Mathematics & AI in Society, Science, and Technology, Berlin Institute of Technology & Zuse Institute Berlin, Berlin, Germany; Institute of Mathematics, Berlin Institute of Technology, Berlin, Germany; Graduate School of Engineering, Chiba University, Chiba, Japan
Conference: iclr 2023 (main track)
Keywords: approximate vanishing ideal;convex optimization;conditional gradients algorithms;Hessian matrix
Decision: Poster
Title: How Much Data Are Augmentations Worth? An Investigation into Scaling Laws, Invariance, and Implicit Regularization
Authors: Jonas Geiping, Micah Goldblum, Gowthami Somepalli, Ravid Shwartz-Ziv, Tom Goldstein, Andrew Wilson
Affiliations: University of Maryland, College Park; New York University
Conference: iclr 2023 (main track)
Keywords: Data Augmentations;Stochasticity;Flatness;Neural Networks;Invariance
Decision: Poster
Title: Behavior Proximal Policy Optimization
Authors: Zifeng Zhuang, Kun LEI, Jinxin Liu, Donglin Wang, Yilang Guo
Affiliations: School of Software Engineering, Beijing Jiaotong University; Institute of Advanced Technology, Westlake Institute for Advanced Study; Zhejiang University; School of Engineering, Westlake University
Conference: iclr 2023 (main track)
Keywords: Offline Reinforcement Learning;Monotonic Policy Improvement
Decision: Poster
Title: Energy-Based Test Sample Adaptation for Domain Generalization
Authors: Zehao Xiao, Xiantong Zhen, Shengcai Liao, Cees G Snoek
Affiliations: AIM Lab, University of Amsterdam and Inception Institute of Artificial Intelligence; Inception Institute of Artificial Intelligence; AIM Lab, University of Amsterdam
Conference: iclr 2023 (main track)
Keywords: domain generalization;energy-based model;test-time sample adaptation;variational inference
Decision: Poster
Title: Benchmarking Offline Reinforcement Learning on Real-Robot Hardware
Authors: Nico Gürtler, Sebastian Blaes, Pavel Kolev, Felix Widmaier, Manuel Wuthrich, Stefan Bauer, Bernhard Schoelkopf, Georg Martius
Affiliations: Harvard University; Max Planck Institute for Intelligent Systems; KTH Stockholm
Conference: iclr 2023 (main track)
Keywords: offline reinforcement learning;robotic manipulation;dexterous manipulation;TriFinger platform
Decision: Top-25%
Title: DINO: DETR with Improved DeNoising Anchor Boxes for End-to-End Object Detection
Authors: Hao Zhang, Feng Li, Shilong Liu, Lei Zhang, Hang Su, Jun Zhu, Lionel Ni, Heung-Yeung Shum
Conference: iclr 2023 (main track)
Keywords: Object Detection;Detection Transformer;End-to-End Detector
Decision: Poster
Title: Interneurons accelerate learning dynamics in recurrent neural networks for statistical adaptation
Authors: David Lipshutz, Cengiz Pehlevan, Dmitri Chklovskii
Affiliations: John A. Paulson School of Engineering and Applied Sciences, Harvard University; Neuroscience Institute, New York University School of Medicine; Center for Computational Neuroscience, Flatiron Institute
Conference: iclr 2023 (main track)
Keywords: Interneurons;recurrent neural networks;gradient flows;implicit acceleration;statistical whitening
Decision: Poster
Title: Meta Learning to Bridge Vision and Language Models for Multimodal Few-Shot Learning
Authors: Ivona Najdenkoska, Xiantong Zhen, Marcel Worring
Affiliations: AIM Lab, University of Amsterdam, Inception Institute of Artificial Intelligence; AIM Lab, University of Amsterdam
Conference: iclr 2023 (main track)
Keywords: multimodal;few-shot learning;meta-learning;transformers;vision and language models
Decision: Poster
Title: What shapes the loss landscape of self supervised learning?
Authors: Liu Ziyin, Ekdeep Singh Lubana, Masahito Ueda, Hidenori Tanaka
Affiliations: Physics & Informatics Laboratories, NTT Research, Inc.; Center for Brain Science, Harvard University; Physics & Informatics Laboratories, NTT Research, Inc.; Center for Brain Science, Harvard University; EECS Department, University of Michigan; Department of Physics, The University of Tokyo; Institute for Physics of Intelligence, The University of Tokyo; RIKEN Center for Emergent Matter Science (CEMS); Department of Physics, The University of Tokyo; Physics & Informatics Laboratories, NTT Research, Inc.; Center for Brain Science, Harvard University
Conference: iclr 2023 (main track)
Keywords: loss landscape;self-supervised learning;collapse
Decision: Poster
Title: Offline Q-learning on Diverse Multi-Task Data Both Scales And Generalizes
Authors: Aviral Kumar, Rishabh Agarwal, Xinyang Geng, George Tucker, Sergey Levine
Affiliations: Google Research, Brain Team; Google Research, Brain Team and UC Berkeley
Conference: iclr 2023 (main track)
Keywords: offline RL;multi-task Atari;large models
Decision: Top-5%
Title: Offline Reinforcement Learning via High-Fidelity Generative Behavior Modeling
Authors: Huayu Chen, Cheng Lu, Chengyang Ying, Hang Su, Jun Zhu
Affiliations: Department of Computer Science & Technology, Institute for AI, BNRist Center, Tsinghua-Bosch Joint ML Center, THBI Lab, Tsinghua University; Pazhou Lab, Guangzhou, 510330, China; Department of Computer Science & Technology, Institute for AI, BNRist Center, Tsinghua-Bosch Joint ML Center, THBI Lab, Tsinghua University
Conference: iclr 2023 (main track)
Keywords: offline reinforcement learning;generative models;diffusion models;behavior modeling
Decision: Poster
Title: DCI-ES: An Extended Disentanglement Framework with Connections to Identifiability
Authors: Cian Eastwood, Andrei L Nicolicioiu, Julius von Kügelgen, Armin Kekic, Frederik Träuble, Andrea Dittadi, Bernhard Schoelkopf
Conference: iclr 2023 (main track)
Keywords: disentanglement;identifiability;representation learning
Decision: Poster
Title: Towards convergence to Nash equilibria in two-team zero-sum games
Authors: Foivos Kalogiannis, Ioannis Panageas, Emmanouil-Vasileios Vlatakis-Gkaragkounis
Affiliations: UC Irvine; Columbia University
Conference: iclr 2023 (main track)
Keywords: no-regret-learning;no-regret;optimization;learning-in-games;nash-equilibrium;game-theory;min-max-optimization;min-max
Decision: Poster
Title: Learning Math Reasoning from Self-Sampled Correct and Partially-Correct Solutions
Authors: Ansong Ni, Jeevana Priya Inala, Chenglong Wang, Alex Polozov, Christopher Meek, Dragomir Radev, Jianfeng Gao
Affiliations: Google; University of Washington; Yale University; Microsoft Research
Conference: iclr 2023 (main track)
Keywords: mathematical reasoning;multi-target learning;self-sampling;large language models
Decision: Poster
Title: Few-Shot Domain Adaptation For End-to-End Communication
Authors: Jayaram Raghuram, Yijing Zeng, Dolores Garcia, Rafael Ruiz, Somesh Jha, Joerg Widmer, Suman Banerjee
Affiliations: University of Wisconsin - Madison; IMDEA Networks Institute, Madrid
Conference: iclr 2023 (main track)
Keywords: domain adaptation;end-to-end communication;autoencoders;Gaussian mixtures;mixture density networks;few-shot;wireless channel
Decision: Top-25%
Title: A Mixture-of-Expert Approach to RL-based Dialogue Management
Authors: Yinlam Chow, Azamat Tulepbergenov, Ofir Nachum, Dhawal Gupta, Moonkyung Ryu, Mohammad Ghavamzadeh, Craig Boutilier
Affiliations: Google Research
Conference: iclr 2023 (main track)
Keywords: Reinforcement learning
Decision: Poster
Title: Robust Fair Clustering: A Novel Fairness Attack and Defense Framework
Authors: Anshuman Chhabra, Peizhao Li, Prasant Mohapatra, Hongfu Liu
Affiliations: Michtom School of Computer Science, Brandeis University; Department of Computer Science, University of California, Davis
Conference: iclr 2023 (main track)
Keywords: Data Clustering;Fairness Attack;Fairness Defense;Consensus Clustering
Decision: Poster
Title: Exploring perceptual straightness in learned visual representations
Authors: Anne Harrington, Vasha DuTell, Ayush Tewari, Mark Hamilton, Simon Stent, Ruth Rosenholtz, William Freeman
Affiliations: MIT CSAIL and MIT Brain and Cognitive Sciences; MIT CSAIL; Woven Planet
Conference: iclr 2023 (main track)
Keywords: adversarial robustness;deep learning;representation learning;computer vision;neuroscience;human vision
Decision: Poster
Title: 3D Segmenter: 3D Transformer based Semantic Segmentation via 2D Panoramic Distillation
Authors: ZHENNAN WU, YANG LI, Yifei Huang, Lin Gu, Tatsuya Harada, Hiroyuki Sato
Affiliations: The University of Tokyo, RIKEN Center for Advanced Intelligence Project; The University of Tokyo; The University of Tokyo, Shanghai AI Laboratory
Conference: iclr 2023 (main track)
Keywords: 3D semantic segmentation;knowledge distillation
Decision: Poster
Title: SketchKnitter: Vectorized Sketch Generation with Diffusion Models
Authors: wang qiang, Hao Deng, Yonggang Qi, Da Li, Yi-Zhe Song
Affiliations: Beijing University of Posts and Telecommunications, CN; SketchX, CVSSP, University of Surrey, UK
Conference: iclr 2023 (main track)
Decision: Top-25%
Title: ACMP: Allen-Cahn Message Passing with Attractive and Repulsive Forces for Graph Neural Networks
Authors: Yuelin Wang, Kai Yi, Xinliang Liu, Yuguang Wang, Shi Jin
Affiliations: University of New South Wales; King Abdullah University of Science and Technology; Shanghai Jiao Tong University; Shanghai Jiao Tong University, Shanghai Artificial Intelligence Laboratory
Conference: iclr 2023 (main track)
Decision: Top-25%
Title: On Representing Mixed-Integer Linear Programs by Graph Neural Networks
Authors: Ziang Chen, Jialin Liu, Xinshang Wang, Wotao Yin
Affiliations: Department of Mathematics, Duke University, Durham, NC 27708; Damo Academy, Alibaba US, Antai College of Economics and Management, Shanghai Jiao Tong University, Bellevue, WA 98004; Damo Academy, Alibaba US, Bellevue, WA 98004; Departments of Mathematics, Physics, and Chemistry, Duke University, Durham, NC 27708
Conference: iclr 2023 (main track)
Decision: Poster
Title: Multiscale Neural Operator: Learning Fast and Grid-independent PDE Solvers
Conference: iclr 2023 (main track)
Keywords: physics-informed machine learning;pinns;scientific machine learning;neural ODEs;neural operators;machine learning;neural networks;Matryoshka;multiphysics;multiscale;parametrizations;closure;subgrid;superstructures;partial differential equations;PDEs;differential equations;numerical solvers;physics;hpc;surrogate;reduced order modeling;model reduction;uncertainty quantification;climate;fluid dynamics;physics;computational physics
Decision: Reject
Title: The Role of ImageNet Classes in Fréchet Inception Distance
Authors: Tuomas Kynkäänniemi, Tero Karras, Miika Aittala, Timo Aila, Jaakko Lehtinen
Affiliations: Aalto University; NVIDIA; Aalto University & NVIDIA
Conference: iclr 2023 (main track)
Keywords: generative models;evaluation;Fréchet Inception Distance
Decision: Top-25%
Title: Transformer-Patcher: One Mistake Worth One Neuron
Authors: Zeyu Huang, Yikang Shen, Xiaofeng Zhang, Jie Zhou, Wenge Rong, Zhang Xiong
Affiliations: School of Computer Science and Engineering, Beihang University, China; WeChat AI, Tencent Inc, China; State Key Laboratory of Software Development Environment, Beihang University, China; Mila, University of Montreal, Canada
Conference: iclr 2023 (main track)
Keywords: Sequential Model Editing
Decision: Poster
Title: Mind's Eye: Grounded Language Model Reasoning through Simulation
Authors: Ruibo Liu, Jason Wei, Shixiang Gu, Te-Yen Wu, Soroush Vosoughi, Claire Cui, Denny Zhou, Andrew Dai
Affiliations: Google Research, Brain Team; Dartmouth College; Google Research, Brain Team; Dartmouth College
Conference: iclr 2023 (main track)
Keywords: reasoning;alignment;simulation;physics;grounding
Decision: Poster
Title: Inequality phenomenon in $l_{\infty}$-adversarial training, and its unrealized threats
Authors: Ranjie Duan, YueFeng Chen, Yao Zhu, Xiaojun Jia, Rong Zhang, Hui Xue'
Affiliations: Alibaba Group; Zhejiang University; University of Chinese Academy of Sciences
Conference: iclr 2023 (main track)
Keywords: Adversarial training;Adversarial robustness;Adversarial feature represenation
Decision: Top-25%
Title: Weakly Supervised Knowledge Transfer with Probabilistic Logical Reasoning for Object Detection
Authors: Martijn Oldenhof, Adam Arany, Yves Moreau, Edward De Brouwer
Affiliations: ESAT - STADIUS, KU Leuven, Belgium
Conference: iclr 2023 (main track)
Keywords: weak supervision;knowledge transfer;object detection;probabilistic logical reasoning
Decision: Poster
Title: Defending against Adversarial Audio via Diffusion Model
Authors: Shutong Wu, Jiongxiao Wang, Wei Ping, Weili Nie, Chaowei Xiao
Affiliations: NVIDIA; Arizona State University; Arizona State University, Shanghai Jiao Tong University
Conference: iclr 2023 (main track)
Keywords: Adversarial attack and defense;AI security;speech recognition;diffusion models
Decision: Poster
Title: Discovering Generalizable Multi-agent Coordination Skills from Multi-task Offline Data
Authors: Fuxiang Zhang, Chengxing Jia, Yi-Chen Li, Lei Yuan, Yang Yu, Zongzhang Zhang
Affiliations: National Key Laboratory for Novel Software Technology, Nanjing University; National Key Laboratory for Novel Software Technology, Nanjing University and Polixir Technologies
Conference: iclr 2023 (main track)
Keywords: multi-agent reinforcement learning;multi-task reinforcement learning;skill discovery;offline reinforcement learning
Decision: Poster
Title: Avoiding spurious correlations via logit correction
Authors: Sheng Liu, Xu Zhang, Nitesh Sekhar, Yue Wu, Prateek Singhal, Carlos Fernandez-Granda
Affiliations: New York University, USA; Amazon Alexa AI, USA; New York University, USA; shengliu@nyu.edu
Conference: iclr 2023 (main track)
Keywords: spurious correlation;robust learning;empirical risk minimization
Decision: Poster
Title: Explaining RL Decisions with Trajectories
Authors: Shripad Deshmukh, Arpan Dasgupta, Balaji Krishnamurthy, Nan Jiang, Chirag Agarwal, Georgios Theocharous, Jayakumar Subramanian
Affiliations: Media and Data Science Research, Adobe; University of Illinois Urbana-Champaign; International Institute of Information Technology Hyderabad; Adobe Research
Conference: iclr 2023 (main track)
Keywords: Explainable RL;Explainable AI;Offline Reinforcement Learning;Trajectory Attribution;Decision-Aware AI
Decision: Poster
Title: Embedding Fourier for Ultra-High-Definition Low-Light Image Enhancement
Authors: Chongyi Li, Chun-Le Guo, man zhou, Zhexin Liang, Shangchen Zhou, Ruicheng Feng, Chen Change Loy
Affiliations: Nankai University; S-Lab, Nanyang Technological University
Conference: iclr 2023 (main track)
Keywords: low-light image enhancement;high-resolution image processing;Fourier transform;benchmark
Decision: Top-5%
Title: Automatic Chain of Thought Prompting in Large Language Models
Authors: Zhuosheng Zhang, Aston Zhang, Mu Li, Alex Smola
Affiliations: Amazon Web Services; Shanghai Jiao Tong University
Conference: iclr 2023 (main track)
Keywords: Chain of Thought Prompting;Large Language Models;In-context Learning;Few-shot Learning;Arithmetic Reasoning;Commonsense Reasoning;Symbolic Reasoning.
Decision: Poster
Title: DFlow: Learning to Synthesize Better Optical Flow Datasets via a Differentiable Pipeline
Authors: BYUNGKI KWON, HYEONWOO NAM, Ji-Yun Kim, Tae-Hyun Oh
Affiliations: Department of Electrical Engineering, POSTECH; Department of Electrical Engineering, POSTECH2Graduate School of AI, POSTECH3Institute for Convergence Research and Education in Advanced Technology, Yonsei University
Conference: iclr 2023 (main track)
Keywords: Synthetic data;Optical flow
Decision: Poster
Title: An Additive Instance-Wise Approach to Multi-class Model Interpretation
Authors: Vy Vo, Van Nguyen, Trung Le, Quan Tran, Reza Haffari, Seyit Camtepe, Dinh Phung
Affiliations: Monash University, Australia and VinAI Research, Vietnam; Monash University, Australia; Adobe Research, USA; CSIRO’s Data61, Australia
Conference: iclr 2023 (main track)
Decision: Poster
Title: LMC: Fast Training of GNNs via Subgraph Sampling with Provable Convergence
Authors: Zhihao Shi, Xize Liang, Jie Wang
Affiliations: University of Science and Technology of China
Conference: iclr 2023 (main track)
Keywords: Graph Nerual Networks;Scalable Training;Provable Convergence;Local Message Compensation
Decision: Top-25%
Title: CLARE: Conservative Model-Based Reward Learning for Offline Inverse Reinforcement Learning
Authors: Sheng Yue, Guanbo Wang, Wei Shao, Zhaofeng Zhang, Sen Lin, Ju Ren, Junshan Zhang
Affiliations: Ohio State University; Tongji University; Tsinghua University, Zhongguancun Laboratory; Tsinghua University; University of California, Davis; Arizona State University
Conference: iclr 2023 (main track)
Keywords: offline inverse reinforcement learning;inverse reinforcement learning;offline reinforcement learning
Decision: Poster
Title: $\mathscr{N}$-WL: A New Hierarchy of Expressivity for Graph Neural Networks
Authors: Qing Wang, Dillon Chen, Asiri Wijesinghe, Shouheng Li, Muhammad Farhan
Affiliations: School of Computing, Australian National University
Conference: iclr 2023 (main track)
Keywords: Graph neural network;Weisfeiler-Lehman algorithm;k-WL hierarchy;graph classification
Decision: Poster
Title: $\mathcal{O}$-GNN: incorporating ring priors into molecular modeling
Authors: Jinhua Zhu, Kehan Wu, Bohan Wang, Yingce Xia, Shufang Xie, Qi Meng, Lijun Wu, Tao Qin, Wengang Zhou, Houqiang Li, Tie-Yan Liu
Affiliations: Microsoft Research AI4Science; University of Science and Technology of China; Gaoling School of Artificial Intelligence, Renmin University of China
Conference: iclr 2023 (main track)
Keywords: Graph Neural Network;Ring;Molecular Modeling
Decision: Poster
Title: Recursive Time Series Data Augmentation
Authors: Amine Aboussalah, Minjae Kwon, Raj Patel, Cheng Chi, Chi-Guhn Lee
Affiliations: New York University; University of Virginia; University of Toronto
Conference: iclr 2023 (main track)
Keywords: Time Series;Data augmentation;Representation Learning;Deep Learning;Reinforcement Learning
Decision: Poster
Title: SP2 : A Second Order Stochastic Polyak Method
Authors: Shuang Li, William Swartworth, Martin Takáč, Deanna Needell, Robert M. Gower
Affiliations: Mohamed bin Zayed University of Artificial Intelligence, Abu Dhabi, UAE; Department of Mathematics, University of California, Los Angeles, USA; Center for Computational Mathematics, Flatiron Institute, Simons Foundation, New York, USA
Conference: iclr 2023 (main track)
Decision: Poster
Title: How Sharpness-Aware Minimization Minimizes Sharpness?
Authors: Kaiyue Wen, Tengyu Ma, Zhiyuan Li
Affiliations: Computer Science Department, Stanford University; Institute for Interdisciplinary Information Sciences, Tsinghua University
Conference: iclr 2023 (main track)
Keywords: implicit bias;implicit regularization;sharpness;sharpness aware minimization
Decision: Poster
Title: TextGrad: Advancing Robustness Evaluation in NLP by Gradient-Driven Optimization
Authors: Bairu Hou, Jinghan Jia, Yihua Zhang, Guanhua Zhang, Yang Zhang, Sijia Liu, Shiyu Chang
Affiliations: MIT-IBM Watson AI Lab; Michigan State University; Michigan State University/MIT-IBM Watson AI Lab; UC Santa Barbara
Conference: iclr 2023 (main track)
Decision: Poster
Title: Learning a Data-Driven Policy Network for Pre-Training Automated Feature Engineering
Authors: Liyao Li, Haobo Wang, Liangyu Zha, Qingyi Huang, Sai Wu, Gang Chen, Junbo Zhao
Affiliations: College of Computer Science and Technology, Zhejiang University; Institute of Computing Innovation, Zhejiang University
Conference: iclr 2023 (main track)
Keywords: Automated Feature Engineering;Reinforcement Learning;Tabular Data;Data-Driven;Pre-Training
Decision: Top-25%