hunoutl/paperlists huggingface dataset:
Title: Data Valuation Without Training of a Model
Authors: Nohyun Ki, Hoyong Choi, Hye Won Chung
Affiliations: School of Electrical Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, South Korea
Conference: iclr 2023 (main track)
Keywords: Data valuation;generalization error bounds;complexity-gap score;data pruning;training dynamics
Decision: Poster
Title: EVC: Towards Real-Time Neural Image Compression with Mask Decay
Authors: Guo-Hua Wang, Jiahao Li, Bin Li, Yan Lu
Affiliations: Microsoft Research Asia; State Key Laboratory for Novel Software Technology, Nanjing University
Conference: iclr 2023 (main track)
Keywords: neural image compression;image codec;model acceleration;model compression;knowledge distillation
Decision: Poster
Title: Packed Ensembles for efficient uncertainty estimation
Authors: Olivier Laurent, Adrien Lafage, Enzo Tartaglione, Geoffrey Daniel, Jean-marc Martinez, Andrei Bursuc, Gianni Franchi
Affiliations: Universit´e Paris-Saclay, CEA, SGLS; LTCI, T´el´ecom Paris, Institut Polytechnique de Paris; valeo.ai; U2IS, ENSTA Paris, Institut Polytechnique de Paris; Universit´e Paris-Saclay, CEA, SGLS, U2IS, ENSTA Paris, Institut Polytechnique de Paris
Conference: iclr 2023 (main track)
Keywords: Efficient Ensembling;Uncertainty Quantification;OOD Detection
Decision: Top-25%
Title: FLIP: A Provable Defense Framework for Backdoor Mitigation in Federated Learning
Authors: Kaiyuan Zhang, Guanhong Tao, Qiuling Xu, Siyuan Cheng, Shengwei An, Yingqi Liu, Shiwei Feng, Guangyu Shen, Pin-Yu Chen, Shiqing Ma, Xiangyu Zhang
Affiliations: Purdue University; IBM Research; Rutgers University
Conference: iclr 2023 (main track)
Keywords: Federated learning;backdoor mitigation
Decision: Poster
Title: Code Translation with Compiler Representations
Authors: Marc Szafraniec, Baptiste Roziere, Hugh Leather, Patrick Labatut, François Charton, Gabriel Synnaeve
Affiliations: Meta AI
Conference: iclr 2023 (main track)
Keywords: Neural Machine Translation;Unsupervised Learning;Programming Languages;LLVM;Decompilation;Deep Learning;Program Translation
Decision: Top-25%
Title: Context-enriched molecule representations improve few-shot drug discovery
Authors: Johannes Schimunek, Philipp Seidl, Lukas Friedrich, Daniel Kuhn, Friedrich Rippmann, Sepp Hochreiter, Günter Klambauer
Affiliations: Computational Chemistry & Biologics, Merck Healthcare, Darmstadt, Germany; ELLIS Unit Linz and LIT AI Lab, Institute for Machine Learning, Johannes Kepler University Linz, Austria
Conference: iclr 2023 (main track)
Decision: Poster
Title: Incremental Learning of Structured Memory via Closed-Loop Transcription
Authors: Shengbang Tong, Xili Dai, Ziyang Wu, Mingyang Li, Brent Yi, Yi Ma
Affiliations: University of California, Berkeley and Tsinghua-Berkeley Shenzhen Institute (TBSI), Tsinghua University; University of California, Berkeley; Tsinghua-Berkeley Shenzhen Institute (TBSI), Tsinghua University; The Hong Kong University of Science and Technology (Guangzhou)
Conference: iclr 2023 (main track)
Keywords: Generative Replay Incremental Learning;Closed Loop Transcription
Decision: Poster
Title: Benchmarking Approximate k-Nearest Neighbour Search for Big High Dimensional Dynamic Data
Conference: iclr 2023 (main track)
Keywords: Nearest Neighbour Search;Similarity Search;Indexing;Knowledge retrieval;Knowledge discovery;High Dimensional Data;Big Data;Large Scale;Hashing;Graph Traversal;Product Quantisation;Online Learning;Representation Learning;Metric Learning;Robotic Vision
Decision: Reject
Title: SoftZoo: A Soft Robot Co-design Benchmark For Locomotion In Diverse Environments
Authors: Johnson (Tsun-Hsuan) Wang, Pingchuan Ma, Andrew Spielberg, Zhou Xian, Hao Zhang, Joshua B Tenenbaum, Daniela Rus, Chuang Gan
Affiliations: Harvard; MIT-IBM Watson AI Lab, UMass Amherst; CMU; MIT CSAIL; UMass Amherst
Conference: iclr 2023 (main track)
Keywords: soft robot;co-design;differentiable physics
Decision: Poster
Title: HotProtein: A Novel Framework for Protein Thermostability Prediction and Editing
Authors: Tianlong Chen, Chengyue Gong, Daniel Diaz, Xuxi Chen, Jordan Wells, Qiang Liu, Zhangyang Wang, Andrew Ellington, Alexandros Dimakis, Adam Klivans
Affiliations: The University of Texas at Austin
Conference: iclr 2023 (main track)
Keywords: Protein Thermostability;Protein Editing;Dataset;Structure-aware Pre-training;Factorized Sparse Tuning
Decision: Poster
Title: VIP: Towards Universal Visual Reward and Representation via Value-Implicit Pre-Training
Authors: Yecheng Jason Ma, Shagun Sodhani, Dinesh Jayaraman, Osbert Bastani, Vikash Kumar, Amy Zhang
Affiliations: FAIR, Meta AI; University of Pennsylvania
Conference: iclr 2023 (main track)
Keywords: Pre-Training for Control;Offline RL;Goal-Conditioned RL;Deep RL;Robot Learning;Self-Supervised Learning;Visuomotor Control
Decision: Top-25%
Title: Weighted Clock Logic Point Process
Authors: Ruixuan Yan, Yunshi Wen, Debarun Bhattacharjya, Ronny Luss, Tengfei Ma, Achille Fokoue, Anak Agung Julius
Affiliations: Rensselaer Polytechnic Institute; IBM T.J. Watson Research Center
Conference: iclr 2023 (main track)
Keywords: Multivariate event data;Neuro-symbolic models;Temporal point process;Propositional logic
Decision: Poster
Title: GeneFace: Generalized and High-Fidelity Audio-Driven 3D Talking Face Synthesis
Authors: Zhenhui Ye, Ziyue Jiang, Yi Ren, Jinglin Liu, Jinzheng He, Zhou Zhao
Affiliations: School of Computer Science and Technology, Zhejiang University; ByteDance
Conference: iclr 2023 (main track)
Keywords: Talking Face Generation;Neural Radiance Field
Decision: Poster
Title: Provably Efficient Risk-Sensitive Reinforcement Learning: Iterated CVaR and Worst Path
Authors: Yihan Du, Siwei Wang, Longbo Huang
Affiliations: Institute for Interdisciplinary Information Sciences, Tsinghua University, Beijing, China; Microsoft Research, Beijing, China
Conference: iclr 2023 (main track)
Keywords: Risk-sensitive Reinforcement Learning (RL);Iterated CVaR RL;Worst Path RL;RL theory
Decision: Poster
Title: A Call to Reflect on Evaluation Practices for Failure Detection in Image Classification
Authors: Paul F. Jaeger, Carsten Lüth, Lukas Klein, Till Bungert
Affiliations: Interactive Machine Learning Group, German Cancer Research Center, Heidelberg, Germany; Helmholtz Imaging, DKFZ, Heidelberg, Germany; Institute for Machine Learning, ETH Zürich, Zürich, Switzerland; Interactive Machine Learning Group, German Cancer Research Center, Heidelberg, Germany; Helmholtz Imaging, DKFZ, Heidelberg, Germany
Conference: iclr 2023 (main track)
Keywords: failure detection;out-of-distribution detection;predictive uncertainty quantification;selective classification;robustness;method evaluation
Decision: Top-5%
Title: How Much Space Has Been Explored? Measuring the Chemical Space Covered by Databases and Machine-Generated Molecules
Authors: Yutong Xie, Ziqiao Xu, Jiaqi Ma, Qiaozhu Mei
Affiliations: Chemistry Department, University of Michigan, Ann Arbor, Michigan, USA; School of Information Sciences, University of Illinois Urbana-Champaign, Champaign, Illinois, USA; School of Information, University of Michigan, Ann Arbor, Michigan, USA
Conference: iclr 2023 (main track)
Keywords: molecular generation;drug discovery;coverea measures;chemical space measures
Decision: Poster
Title: Interpretations of Domain Adaptations via Layer Variational Analysis
Authors: Huan-Hsin Tseng, Hsin-Yi Lin, Kuo-Hsuan Hung, Yu Tsao
Affiliations: Research Center for Information Technology Innovation, Academia Sinica, Taiwan
Conference: iclr 2023 (main track)
Keywords: deep learning theory;domain adaptation;transfer learning;variational analysis;knowledge transfer
Decision: Poster
Title: Evolve Smoothly, Fit Consistently: Learning Smooth Latent Dynamics For Advection-Dominated Systems
Authors: Zhong Yi Wan, Leonardo Zepeda-Nunez, Anudhyan Boral, Fei Sha
Affiliations: Google Research, Mountain View, CA 94043, USA
Conference: iclr 2023 (main track)
Decision: Top-25%
Title: UniKGQA: Unified Retrieval and Reasoning for Solving Multi-hop Question Answering Over Knowledge Graph
Authors: Jinhao Jiang, Kun Zhou, Xin Zhao, Ji-Rong Wen
Affiliations: Gaoling School of Artificial Intelligence, Renmin University of China.; School of Information, Renmin University of China.
Conference: iclr 2023 (main track)
Decision: Poster
Title: Associative Memory Augmented Asynchronous Spatiotemporal Representation Learning for Event-based Perception
Authors: Uday Kamal, Saurabh Dash, Saibal Mukhopadhyay
Affiliations: School of Electrical and Computer Engineering, Georgia Institute of Technology
Conference: iclr 2023 (main track)
Keywords: associative memory;memory augmented neural network;spatiotemporal representation;event-based camera;event-based perception;object recognition;attention;set processing
Decision: Top-25%
Title: A Theoretical Framework for Inference and Learning in Predictive Coding Networks
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;backpropagation;target propagation;machine learning;neuroscience
Decision: Poster
Title: Self-Supervised Geometric Correspondence for Category-Level 6D Object Pose Estimation in the Wild
Authors: Kaifeng Zhang, Yang Fu, Shubhankar Borse, Hong Cai, Fatih Porikli, Xiaolong Wang
Affiliations: Qualcomm AI Research; UC San Diego; Tsinghua University
Conference: iclr 2023 (main track)
Keywords: Category-level 6D pose estimation;self-supervised learning;correspondence;computer vision
Decision: Poster
Title: DocPrompting: Generating Code by Retrieving the Docs
Authors: Shuyan Zhou, Uri Alon, Frank F Xu, Zhengbao Jiang, Graham Neubig
Affiliations: Language Technologies Institute, Carnegie Mellon University; Inspired Cognition; Language Technologies Institute, Carnegie Mellon University
Conference: iclr 2023 (main track)
Keywords: code generation;retrieval-conditioned generation
Decision: Top-25%
Title: Symbolic Physics Learner: Discovering governing equations via Monte Carlo tree search
Authors: Fangzheng Sun, Yang Liu, Jian-Xun Wang, Hao Sun
Affiliations: University of Chinese Academy of Sciences, Beijing, China; Renmin University of China, Beijing, China; Northeastern University, Boston, MA, USA; University of Notre Dame, Notre Dame, IN, USA
Conference: iclr 2023 (main track)
Keywords: symbolic regression;Monte Carlo tree search;governing equations;nonlinear dynamics
Decision: Top-5%
Title: Modelling Long Range Dependencies in $N$D: From Task-Specific to a General Purpose CNN
Authors: David Knigge, David W. Romero, Albert Gu, Efstratios Gavves, Erik Bekkers, Jakub Tomczak, Mark Hoogendoorn, Jan-jakob Sonke
Affiliations: Stanford University; Vrije Universiteit Amsterdam; University of Amsterdam; Netherlands Cancer Institute
Conference: iclr 2023 (main track)
Keywords: convolutional neural networks;continuous convolutional kernels;CNNs;continuous parameterizations;sequential data;visual data;point-cloud data
Decision: Poster
Title: Squeeze Training for Adversarial Robustness
Authors: Qizhang Li, Yiwen Guo, Wangmeng Zuo, Hao Chen
Affiliations: Independent Researcher; Harbin Institute of Technology, Tencent Security Big Data Lab; UC Davis; Harbin Institute of Technology
Conference: iclr 2023 (main track)
Keywords: Adversarial Training;Adversarial Examples;Model Robustness
Decision: Poster
Title: DBQ-SSD: Dynamic Ball Query for Efficient 3D Object Detection
Authors: Jinrong Yang, Lin Song, Songtao Liu, Weixin Mao, Zeming Li, Xiaoping Li, Hongbin Sun, Jian Sun, Nanning Zheng
Affiliations: Huazhong University of Science and Technology; Xi’an Jiaotong University; MEGVII Technology; Tencent AI Lab
Conference: iclr 2023 (main track)
Decision: Poster
Title: Masked Vision and Language Modeling for Multi-modal Representation Learning
Authors: Gukyeong Kwon, Zhaowei Cai, Avinash Ravichandran, Erhan Bas, Rahul Bhotika, Stefano Soatto
Affiliations: AWS AI Labs
Conference: iclr 2023 (main track)
Keywords: Vision and language;multi-modal learning
Decision: Poster
Title: Learning Cut Selection for Mixed-Integer Linear Programming via Hierarchical Sequence Model
Authors: Zhihai Wang, Xijun Li, Jie Wang, Yufei Kuang, Mingxuan Yuan, Jia Zeng, Yongdong Zhang, Feng Wu
Affiliations: CAS Key Laboratory of Technology in GIPAS, University of Science and Technology of China; Noah’s Ark Lab, Huawei Technologies; Institute of Artificial Intelligence, Hefei Comprehensive National Science Center
Conference: iclr 2023 (main track)
Keywords: mixed-integer linear programming;cut selection;deep reinforcement learning;sequence to sequence learning
Decision: Poster
Title: Optimal Conservative Offline RL with General Function Approximation via Augmented Lagrangian
Authors: Paria Rashidinejad, Hanlin Zhu, Kunhe Yang, Stuart Russell, Jiantao Jiao
Affiliations: Department of Electrical Engineering and Computer Sciences, University of California, Berkeley; Department of Statistics, University of California, Berkeley
Conference: iclr 2023 (main track)
Keywords: Offline RL;Pessimism;RL Theory
Decision: Top-25%
Title: Kernel Neural Optimal Transport
Authors: Alexander Korotin, Daniil Selikhanovych, Evgeny Burnaev
Affiliations: Skolkovo Institute of Science and Technology, Moscow, Russia; Skolkovo Institute of Science and Technology, Artificial Intelligence Research Institute, Moscow, Russia
Conference: iclr 2023 (main track)
Keywords: optimal transport;neural networks;kernels
Decision: Poster
Title: BSTT: A Bayesian Spatial-Temporal Transformer for Sleep Staging
Authors: Yuchen Liu, Ziyu Jia
Affiliations: Institute of Automation, CAS; University of Chinese Academy of Sciences; Institute of Automation, CAS; University of Chinese Academy of Sciences; Institute of Computing Technology, CAS
Conference: iclr 2023 (main track)
Keywords: Spatial-Temporal Transformer;Sleep Staging;Bayesian Deep Learning
Decision: Poster
Title: Improving Object-centric Learning with Query Optimization
Authors: Baoxiong Jia, Yu Liu, Siyuan Huang
Affiliations: National Key Laboratory of General Artificial Intelligence, BIGAI; UCLA, National Key Laboratory of General Artificial Intelligence, BIGAI; Tsinghua University, National Key Laboratory of General Artificial Intelligence, BIGAI
Conference: iclr 2023 (main track)
Keywords: unsupervised object-centric learning
Decision: Poster
Title: Concept Gradient: Concept-based Interpretation Without Linear Assumption
Authors: Andrew Bai, Chih-Kuan Yeh, Neil Lin, Pradeep K Ravikumar, Cho-Jui Hsieh
Affiliations: Department of Computer Science, Carnegie Mellon University; Department of Computer Science, University of California, Los Angeles; Department of Bioengineering, University of California, Los Angeles
Conference: iclr 2023 (main track)
Keywords: Interpretability;Concept-based interpretation;XAI
Decision: Poster
Title: Continuous-time identification of dynamic state-space models by deep subspace encoding
Authors: Gerben Izaak Beintema, Maarten Schoukens, Roland Toth
Affiliations: Department of Electrical Engineering, Eindhoven University of Technology, The Netherlands; Department of Electrical Engineering, Eindhoven University of Technology, The Netherlands; Also associated with, Systems and Control Laboratory, Institute for Computer Science and Control, Budapest, Hungary
Conference: iclr 2023 (main track)
Keywords: Continuous-time;State-space;Artificial Neural Networks
Decision: Poster
Title: SYNC: SAFETY-AWARE NEURAL CONTROL FOR STABILIZING STOCHASTIC DELAY-DIFFERENTIAL EQUATIONS
Authors: Jingdong Zhang, Qunxi Zhu, Wei Yang, Wei Lin
Affiliations: School of Mathematical Sciences, SCMS, SCAM, and CCSB, Fudan University, Shanghai 200433, China; Research Institute of Intelligent Complex Systems, Fudan University, Shanghai 200433, China; School of Mathematical Sciences, SCMS, SCAM, and CCSB, Fudan University, Shanghai 200433, China; Research Institute of Intelligent Complex Systems, Fudan University, Shanghai 200433, China; Shanghai Artificial Intelligence Laboratory, China; MOE Frontiers Center for Brain Science and State Key Laboratory of Medical Neurobiology, Fudan University, Shanghai 200032, China; Research Institute of Intelligent Complex Systems, Fudan University, Shanghai 200433, China; Shanghai Artificial Intelligence Laboratory, China; Research Institute of Intelligent Complex Systems, Fudan University, Shanghai 200433, China
Conference: iclr 2023 (main track)
Keywords: Stochastic delay-differential equations;safety guarantee;stochastic stabilization;neural networks
Decision: Poster
Title: Globally Optimal Training of Neural Networks with Threshold Activation Functions
Authors: Tolga Ergen, Halil Gulluk, Jonathan Lacotte, Mert Pilanci
Affiliations: Department of Electrical Engineering, Stanford University, Stanford, CA 94305, USA
Conference: iclr 2023 (main track)
Keywords: Convex optimization;Lasso;threshold activation;binary activation;quantization;neural networks
Decision: Poster
Title: Prompt-to-Prompt Image Editing with Cross-Attention Control
Authors: Amir Hertz, Ron Mokady, Jay Tenenbaum, Kfir Aberman, Yael Pritch, Daniel Cohen-Or
Affiliations: Google Research, The Blavatnik School of Computer Science, Tel Aviv University; Google Research
Conference: iclr 2023 (main track)
Keywords: Image generation;Image editing;Diffusion models;Attention layer;Computer vision;Machine learning
Decision: Top-25%
Title: Uniform-in-time propagation of chaos for the mean-field gradient Langevin dynamics
Authors: Taiji Suzuki, Atsushi Nitanda, Denny Wu
Affiliations: The University of Tokyo, RIKEN Center for Advanced Intelligence Project; Kyushu Institute of Technology, RIKEN Center for Advanced Intelligence Project; The University of Toronto, Vector Institute for Artificial Intelligence
Conference: iclr 2023 (main track)
Keywords: Neural network optimization;mean-field regime;interacting particle system;propagation of chaos
Decision: Poster
Title: Rotamer Density Estimator is an Unsupervised Learner of the Effect of Mutations on Protein-Protein Interaction
Authors: Shitong Luo, Yufeng Su, Zuofan Wu, Chenpeng Su, Jian Peng, Jianzhu Ma
Affiliations: University of Illinois Urbana-Champaign; Helixon Research; Institute for AI Industry Research, Tsinghua University
Conference: iclr 2023 (main track)
Keywords: effect of mutations;protein-protein interaction;unsupervised learning
Decision: Poster
Title: CrAM: A Compression-Aware Minimizer
Authors: Alexandra Peste, Adrian Vladu, Eldar Kurtic, Christoph H Lampert, Dan Alistarh
Affiliations: Institute of Science and Technology Austria (ISTA) & Neural Magic, Inc.; CNRS & IRIF; Institute of Science and Technology Austria (ISTA)
Conference: iclr 2023 (main track)
Keywords: compression;sparsity;one shot pruning;optimization
Decision: Poster
Title: Bayes-MIL: A New Probabilistic Perspective on Attention-based Multiple Instance Learning for Whole Slide Images
Authors: Yufei CUI, Ziquan Liu, Xiangyu Liu, Xue Liu, Cong Wang, Tei-Wei Kuo, Chun Jason Xue, Antoni Chan
Affiliations: McGill University; National Taiwan University; Bingli AI Research; City University of Hong Kong
Conference: iclr 2023 (main track)
Keywords: Multiple instance learning;medical imaging;histopathology;Bayesian neural network
Decision: Poster
Title: Robust Explanation Constraints for Neural Networks
Authors: Matthew Wicker, Juyeon Heo, Luca Costabello, Adrian Weller
Affiliations: The Alan Turing Institute; University of Cambridge; The Alan Turing Institute, University of Cambridge; Accenture Labs
Conference: iclr 2023 (main track)
Keywords: Explainability;Adversarial Robustness;Neural Networks;Robustness Certification
Decision: Poster
Title: Data-Free One-Shot Federated Learning Under Very High Statistical Heterogeneity
Authors: Clare Heinbaugh, Emilio Luz-Ricca, Huajie Shao
Affiliations: Department of Computer Science, William & Mary, V A, USA
Conference: iclr 2023 (main track)
Keywords: One-Shot Federated Learning;Statistical Heterogeneity;Model Heterogeneity;Variational Autoencoder
Decision: Poster
Title: Decomposed Prompting: A Modular Approach for Solving Complex Tasks
Authors: Tushar Khot, Harsh Trivedi, Matthew Finlayson, Yao Fu, Kyle Richardson, Peter Clark, Ashish Sabharwal
Affiliations: Stony Brook University; Allen Institute for AI; University of Edinburgh
Conference: iclr 2023 (main track)
Keywords: prompting;decomposition;in-context learning;reasoning;few-shot prompts;multi-step reasoning
Decision: Poster
Title: Geometrically regularized autoencoders for non-Euclidean data
Authors: Cheongjae Jang, Yonghyeon Lee, Yung-Kyun Noh, Frank Chongwoo Park
Affiliations: Seoul National University, Korea Institute for Advanced Study; Hanyang University; Seoul National University, Saige Research; Hanyang University, Korea Institute for Advanced Study
Conference: iclr 2023 (main track)
Keywords: autoencoders;Riemannian geometry;non-Euclidean data;regularization;score estimation
Decision: Poster
Title: Deep Learning From Crowdsourced Labels: Coupled Cross-Entropy Minimization, Identifiability, and Regularization
Authors: Shahana Ibrahim, Tri Nguyen, Xiao Fu
Affiliations: School of Electrical Engineering and Computer Science, Oregon State University, Corvallis, OR 97330, USA
Conference: iclr 2023 (main track)
Keywords: deep learning;learning under noisy labels;neural classifier;end-to-end learning;crowdsourcing
Decision: Poster
Title: Revisiting the Assumption of Latent Separability for Backdoor Defenses
Authors: Xiangyu Qi, Tinghao Xie, Yiming Li, Saeed Mahloujifar, Prateek Mittal
Affiliations: Princeton University; Tsinghua Shenzhen International Graduate School, Tsinghua University
Conference: iclr 2023 (main track)
Keywords: Backdoor Attacks
Decision: Poster
Title: STUNT: Few-shot Tabular Learning with Self-generated Tasks from Unlabeled Tables
Authors: Jaehyun Nam, Jihoon Tack, Kyungmin Lee, Hankook Lee, Jinwoo Shin
Affiliations: LG AI Research; Korea Advanced Institute of Science and Technology (KAIST)
Conference: iclr 2023 (main track)
Keywords: Tabular representation learning;Few-shot learning;Unsupervised meta-learning
Decision: Top-25%
Title: Knowledge-in-Context: Towards Knowledgeable Semi-Parametric Language Models
Authors: Xiaoman Pan, Wenlin Yao, Hongming Zhang, Dian Yu, Dong Yu, Jianshu Chen
Affiliations: Tencent AI Lab, Bellevue, WA 98004, USA
Conference: iclr 2023 (main track)
Keywords: Semi-parametric language model;text-to-text model;mixture-of-experts;natural language understanding
Decision: Top-25%
Title: User-Interactive Offline Reinforcement Learning
Authors: Phillip Swazinna, Steffen Udluft, Thomas A. Runkler
Affiliations: Siemens & TU Munich, Munich, Germany; Siemens Technology, Munich, Germany
Conference: iclr 2023 (main track)
Keywords: Offline RL;Reinforcement Learning;User;Model-based;Adaptive
Decision: Poster
Title: Noise Is Not the Main Factor Behind the Gap Between Sgd and Adam on Transformers, But Sign Descent Might Be
Authors: Frederik Kunstner, Jacques Chen, Jonathan Lavington, Mark Schmidt
Affiliations: University of British Columbia, Canada; University of British Columbia, Canada CIFAR AI Chair (Amii)
Conference: iclr 2023 (main track)
Keywords: optimization for deep learning;adaptive methods;adam;rmsprop;sgd;sign descent;noise;stochasticity;full batch
Decision: Poster
Title: Over-parameterized Model Optimization with Polyak-{\L}ojasiewicz Condition
Authors: Yixuan Chen, Yubin Shi, Mingzhi Dong, Xiaochen Yang, Dongsheng Li, Yujiang Wang, Robert Dick, Qin Lv, Yingying Zhao, Fan Yang, Ning Gu, Li Shang
Affiliations: School of Microelectronics, Fudan University, Shanghai, China; Microsoft Research Asia, Shanghai, China; Department of Engineering Science, University of Oxford, Oxford, England; Department of Electrical Engineering and Computer Science, University of Michigan, Michigan, United States; Department of Computer Science, University of Colorado Boulder, Boulder, Colorado, United States; School of Mathematics Statistics, The University of Glasgow, Glasgow, UK; China and Shanghai Key Laboratory of Data Science, School of Computer Science, Fudan University, Shanghai, China
Conference: iclr 2023 (main track)
Keywords: Over-parameterized Model;Model Optimization;Polyak-{\L}ojasiewicz Condition.
Decision: Poster