hunoutl/paperlists huggingface dataset:
Title: Bayes Conditional Distribution Estimation for Knowledge Distillation Based on Conditional Mutual Information
Authors: Linfeng Ye, Shayan Mohajer Hamidi, Renhao Tan, EN-HUI YANG
Affiliations: Department of Electrical and Computer Engineering, University of Waterloo
Conference: iclr 2024 (main track)
Keywords: Knowledge distillation;information theroy;bayes conditional distribution estimation;conditional mutual information
Decision: Poster
Title: Hybrid Sharing for Multi-Label Image Classification
Authors: Zihao Yin, Chen Gan, Kelei He, Yang Gao, Junfeng Zhang
Affiliations: State Key Laboratory for Novel Software Technology, Nanjing University; Medical School of Nanjing University
Conference: iclr 2024 (main track)
Keywords: Multi-task learning;Multi-label learning;mixture-of-experts;image classification
Decision: Poster
Title: Towards Assessing and Benchmarking Risk-Return Tradeoff of Off-Policy Evaluation
Authors: Haruka Kiyohara, Ren Kishimoto, Kosuke Kawakami, Ken Kobayashi, Kazuhide Nakata, Yuta Saito
Affiliations: Tokyo Institute of Technology; Cornell University; HAKUHODO Technologies Inc.
Conference: iclr 2024 (main track)
Keywords: off-policy evaluation;offline reinforcement learning;offline policy selection;risk-return tradeoff
Decision: Poster
Title: EmerNeRF: Emergent Spatial-Temporal Scene Decomposition via Self-Supervision
Authors: Jiawei Yang, Boris Ivanovic, Or Litany, Xinshuo Weng, Seung Wook Kim, Boyi Li, Tong Che, Danfei Xu, Sanja Fidler, Marco Pavone, Yue Wang
Affiliations: Technion; Georgia Institute of Technology; University of Southern California; NVIDIA Research; University of Toronto; Stanford University
Conference: iclr 2024 (main track)
Keywords: Neural fields;spatial-temporal NeRFs;NeRF for driving
Decision: Poster
Title: Variance-enlarged Poisson Learning for Graph-based Semi-Supervised Learning with Extremely Sparse Labeled Data
Authors: Xiong Zhou, Xianming Liu, Hao Yu, Jialiang Wang, Zeke Xie, Junjun Jiang, Xiangyang Ji
Affiliations: Baidu Research; Harbin Institute of Technology; Tsinghua University
Conference: iclr 2024 (main track)
Keywords: Semi-Supervised Learning;Poisson Learning;Extremely Sparse Labled Data
Decision: Poster
Title: VDC: Versatile Data Cleanser based on Visual-Linguistic Inconsistency by Multimodal Large Language Models
Authors: Zihao Zhu, Mingda Zhang, Shaokui Wei, Bingzhe Wu, Baoyuan Wu
Affiliations: School of Data Science, The Chinese University of Hong Kong, Shenzhen; Tencent AI Lab
Conference: iclr 2024 (main track)
Keywords: Noisy label detection;Poisoned sample detection;data-centric AI;multimodal large language model
Decision: Poster
Title: Chain of Log-Concave Markov Chains
Authors: Saeed Saremi, Ji Won Park, Francis Bach
Affiliations: Inria, Ecole Normale Supérieure, Université PSL, Paris, France; Frontier Research, Prescient Design, Genentech, South San Francisco, CA
Conference: iclr 2024 (main track)
Keywords: Markov chain Monte Carlo;Langevin MCMC;log-concave distributions;kernel smoothing
Decision: Poster
Title: Incentivized Truthful Communication for Federated Bandits
Authors: Zhepei Wei, Chuanhao Li, Tianze Ren, Haifeng Xu, Hongning Wang
Affiliations: University of Chicago; University of Virginia
Conference: iclr 2024 (main track)
Keywords: Contextual bandit;Federated learning;Truthful mechanism design
Decision: Poster
Title: Pre-Training and Fine-Tuning Generative Flow Networks
Authors: Ling Pan, Moksh Jain, Kanika Madan, Yoshua Bengio
Affiliations: Hong Kong University of Science and Technology; Mila - Quebec AI Institute, Universite de Montreal, CIFAR AI Chair; Mila - Quebec AI Institute, Universite de Montreal
Conference: iclr 2024 (main track)
Keywords: Generative Flow Network (GFlowNets);Pre-train;Goal-conditioned
Decision: Spotlight
Title: Consistency Trajectory Models: Learning Probability Flow ODE Trajectory of Diffusion
Authors: Dongjun Kim, Chieh-Hsin Lai, WeiHsiang Liao, Naoki Murata, Yuhta Takida, Toshimitsu Uesaka, Yutong He, Yuki Mitsufuji, Stefano Ermon
Affiliations: Stanford University, CA, USA; Sony AI, Sony Group Corporation, Tokyo, Japan; Sony AI, Tokyo, Japan; Carnegie Mellon University, PA, USA
Conference: iclr 2024 (main track)
Keywords: Diffusion Models; Score-based Models; Generative Models; Generative AI; Deep Generative Models; Distillation Models
Decision: Poster
Title: Achieving Fairness in Multi-Agent MDP Using Reinforcement Learning
Authors: Peizhong Ju, Arnob Ghosh, Ness Shroff
Affiliations: Department of ECE and CSE, The Ohio State University, Columbus, OH 43210, USA; ECE Department, New Jersey Institute of Technology, Newark, NJ 07102, USA; Department of ECE, The Ohio State University, Columbus, OH 43210, USA
Conference: iclr 2024 (main track)
Keywords: Fairness;Multi-Agent Reinforcement Learning;Markov Decision Process
Decision: Poster
Title: Image Translation as Diffusion Visual Programmers
Authors: Cheng Han, James Liang, Qifan Wang, MAJID RABBANI, Sohail Dianat, Raghuveer Rao, Yingnian Wu, Dongfang Liu
Affiliations: University of California, Los Angeles; Rochester Institute of Technology; DEVCOM Army Research Laboratory; University of Missouri - Kansas City; Meta AI
Conference: iclr 2024 (main track)
Keywords: Image translation;Diffusion model
Decision: Poster
Title: In defense of parameter sharing for model-compression
Authors: Aditya Desai, Anshumali Shrivastava
Affiliations: Department of Computer Science, Rice University & ThirdAI Corp., Houston, TX 77054; Department of Computer Science, Rice University, Houston, TX 77054
Conference: iclr 2024 (main track)
Keywords: parameter sharing;model compression;pruning
Decision: Poster
Title: A Quadratic Synchronization Rule for Distributed Deep Learning
Authors: Xinran Gu, Kaifeng Lyu, Sanjeev Arora, Jingzhao Zhang, Longbo Huang
Affiliations: Department of Computer Science & Princeton Language and Intelligence, Princeton University; Institute for Interdisciplinary Information Sciences, Tsinghua University; Institute for Interdisciplinary Information Sciences, Tsinghua University; Shanghai Qizhi Institute; Shanghai AI Laboratory
Conference: iclr 2024 (main track)
Keywords: distributed training;Local SGD;local gradient methods;generalization;implicit bias;sharpness
Decision: Poster
Title: Empirical Analysis of Model Selection for Heterogeneous Causal Effect Estimation
Authors: Divyat Mahajan, Ioannis Mitliagkas, Brady Neal, Vasilis Syrgkanis
Affiliations: Mila, Université de Montréal; Stanford University
Conference: iclr 2024 (main track)
Keywords: Heterogeneous Treatment Effect Estimation;Conditional Average Treatment Effect;Causal Inference;Model Selection
Decision: Spotlight
Title: Matcher: Segment Anything with One Shot Using All-Purpose Feature Matching
Authors: Yang Liu, Muzhi Zhu, Hengtao Li, Hao Chen, Xinlong Wang, Chunhua Shen
Affiliations: Beijing Academy of Artificial Intelligence; Zhejiang University, China
Conference: iclr 2024 (main track)
Keywords: Vision Foundation Models; Segment Anything; All-Purpose Feature Matching; Training-Free Generalist
Decision: Poster
Title: Massively Scalable Inverse Reinforcement Learning in Google Maps
Authors: Matt Barnes, Matthew Abueg, Oliver Lange, Matt Deeds, Jason Trader, Denali Molitor, Markus Wulfmeier, Shawn O'Banion
Affiliations: Google DeepMind; Google Maps; Google Research
Conference: iclr 2024 (main track)
Keywords: Inverse reinforcement learning;route optimization
Decision: Spotlight
Title: Revisit and Outstrip Entity Alignment: A Perspective of Generative Models
Authors: Lingbing Guo, Zhuo Chen, Jiaoyan Chen, Yin Fang, Wen Zhang, Huajun Chen
Affiliations: School of Software Technology, Zhejiang University; Zhejiang University - Ant Group Joint Laboratory of Knowledge Graph; Alibaba-Zhejiang University Joint Research Institute of Frontier Technologies; Department of Computer Science, The University of Manchester; College of Computer Science and Technology, Zhejiang University; Zhejiang University - Ant Group Joint Laboratory of Knowledge Graph; Alibaba-Zhejiang University Joint Research Institute of Frontier Technologies
Conference: iclr 2024 (main track)
Keywords: entity alignment;variational autoencoder;generative models;knowledge graphs
Decision: Poster
Title: Pre-training with Random Orthogonal Projection Image Modeling
Authors: Maryam Haghighat, Peyman Moghadam, Shaheer Mohamed, Piotr Koniusz
Affiliations: Data61 CSIRO‡Australian National University; Data61 CSIRO†Queensland University of Technology
Conference: iclr 2024 (main track)
Keywords: Random Projection;Self-supervised Learning;Image Modelling;Representation Learning;Vision Transformer
Decision: Spotlight
Title: Byzantine Robust Cooperative Multi-Agent Reinforcement Learning as a Bayesian Game
Authors: Simin Li, Jun Guo, Jingqiao Xiu, Ruixiao Xu, Xin Yu, Jiakai Wang, Aishan Liu, Yaodong Yang, Xianglong Liu
Affiliations: SKLSDE Lab, Beihang University, China & Institute of data space, Hefei Comprehensive National Science Center, China; SKLSDE Lab, Beihang University, China & Zhongguancun Laboratory, China & Institute of data space, Hefei Comprehensive National Science Center, China; Institute of Artificial Intelligence, Peking University & BigAI, China; Zhongguancun Laboratory, China; SKLSDE Lab, Beihang University, China
Conference: iclr 2024 (main track)
Keywords: Multi-agent reinforcement learning;Robustness;Game Theory;Adversarial Attack
Decision: Poster
Title: An Efficient Tester-Learner for Halfspaces
Authors: Aravind Gollakota, Adam Klivans, Konstantinos Stavropoulos, Arsen Vasilyan
Affiliations: MIT; UT Austin
Conference: iclr 2024 (main track)
Keywords: testable learning;pac learning;agnostic learning;Massart label noise;adversarial label noise;distribution testing
Decision: Poster
Title: Perceptual Scales Predicted by Fisher Information Metrics
Authors: Jonathan Vacher, Pascal Mamassian
Affiliations: MAP5, Université Paris Cité, CNRS, F-75006, Paris, France; LSP, Département d’études cognitives, École normale supérieure, PSL University, CNRS, 75005 Paris, France
Conference: iclr 2024 (main track)
Keywords: perceptual scale;perceptual distance;gaussian texture;naturalistic textures;texture interpolation
Decision: Poster
Title: MathCoder: Seamless Code Integration in LLMs for Enhanced Mathematical Reasoning
Authors: Ke Wang, Houxing Ren, Aojun Zhou, Zimu Lu, Sichun Luo, Weikang Shi, Renrui Zhang, Linqi Song, Mingjie Zhan, Hongsheng Li
Affiliations: Multimedia Laboratory (MMLab), The Chinese University of Hong Kong; Multimedia Laboratory (MMLab), The Chinese University of Hong Kong; Nanjing University; Multimedia Laboratory (MMLab), The Chinese University of Hong Kong; Shanghai AI Laboratory; City University of Hong Kong
Conference: iclr 2024 (main track)
Keywords: mathematical reasoning;large language models;code generation
Decision: Poster
Title: AgentBench: Evaluating LLMs as Agents
Authors: Xiao Liu, Hao Yu, Hanchen Zhang, Yifan Xu, Xuanyu Lei, Hanyu Lai, Yu Gu, Hangliang Ding, Kaiwen Men, Kejuan Yang, Shudan Zhang, Xiang Deng, Aohan Zeng, Zhengxiao Du, Chenhui Zhang, Sheng Shen, Tianjun Zhang, Yu Su, Huan Sun, Minlie Huang, Yuxiao Dong, Jie Tang
Affiliations: The Ohio State University; UC Berkeley; Tsinghua University
Conference: iclr 2024 (main track)
Keywords: Large language models;Autonomous agents;Reasoning;Evaluation;Benchmark
Decision: Poster
Title: Protein Discovery with Discrete Walk-Jump Sampling
Authors: Nathan Frey, Dan Berenberg, Karina Zadorozhny, Joseph Kleinhenz, Julien Lafrance-Vanasse, Isidro Hotzel, Yan Wu, Stephen Ra, Richard Bonneau, Kyunghyun Cho, Andreas Loukas, Vladimir Gligorijevic, Saeed Saremi
Affiliations: Department of Computer Science, New York University; Antibody Engineering, Genentech; Prescient Design, Genentech
Conference: iclr 2024 (main track)
Keywords: generative modeling;langevin mcmc;energy-based models;score-based models;protein design;protein discovery
Decision: Oral
Title: CADS: Unleashing the Diversity of Diffusion Models through Condition-Annealed Sampling
Authors: Seyedmorteza Sadat, Jakob Buhmann, Derek Bradley, Otmar Hilliges, Romann Weber
Affiliations: ETH Zürich; DisneyResearch | Studios
Conference: iclr 2024 (main track)
Keywords: diffusion models;diversity;generative models
Decision: Spotlight
Title: Error Norm Truncation: Robust Training in the Presence of Data Noise for Text Generation Models
Authors: Tianjian Li, Haoran Xu, Philipp Koehn, Daniel Khashabi, Kenton Murray
Affiliations: Center for Language and Speech Processing, Johns Hopkins University, Baltimore MD
Conference: iclr 2024 (main track)
Keywords: language generation;language modeling;machine translation;robustness;estimating data quality
Decision: Spotlight
Title: Task Adaptation from Skills: Information Geometry, Disentanglement, and New Objectives for Unsupervised Reinforcement Learning
Authors: Yucheng Yang, Tianyi Zhou, Qiang HE, Lei Han, Mykola Pechenizkiy, Meng Fang
Affiliations: University of Liverpool; University of Maryland, College Park; Tencent Robotics X; Ruhr University Bochum; Eindhoven University of Technology
Conference: iclr 2024 (main track)
Keywords: unsupervised skill learning;reward-free RL;downstream task adaptation;wasserstein distance;theoretical analysis
Decision: Spotlight
Title: Detecting Pretraining Data from Large Language Models
Authors: Weijia Shi, Anirudh Ajith, Mengzhou Xia, Yangsibo Huang, Daogao Liu, Terra Blevins, Danqi Chen, Luke Zettlemoyer
Affiliations: Princeton University; University of Washington
Conference: iclr 2024 (main track)
Keywords: Large language models;detecting pretraining data
Decision: Poster
Title: FROSTER: Frozen CLIP is A Strong Teacher for Open-Vocabulary Action Recognition
Authors: Xiaohu Huang, Hao Zhou, Kun Yao, Kai Han
Affiliations: Department of Computer Vision Technology (VIS), Baidu Inc.; Visual AI Lab, The University of Hong Kong
Conference: iclr 2024 (main track)
Keywords: Open-Vocabulary Action Recognition;Action Recognition
Decision: Poster
Title: A ROBUST DIFFERENTIAL NEURAL ODE OPTIMIZER
Authors: Panagiotis Theodoropoulos, Guan-Horng Liu, Tianrong Chen, Augustinos Saravanos, Evangelos Theodorou
Affiliations: Georgia Institute of Technology, USA
Conference: iclr 2024 (main track)
Keywords: Neural Optimizer;Differential Dynamic Programming;Adversarial Defense;Game Theory
Decision: Poster
Title: Using Machine Learning Models to Predict Genitourinary Involvement Among Gastrointestinal Stromal Tumour Patients
Affiliations: Affiliation
Conference: iclr 2024 (main track)
Keywords: Artificial intelligence;Gastrointestinal stromal tumors;Genitourinary oncology;Gastrointestinal oncology;Urology;Urologic oncology
Decision: Reject
Title: Rigid Protein-Protein Docking via Equivariant Elliptic-Paraboloid Interface Prediction
Authors: Ziyang Yu, Wenbing Huang, Yang Liu
Affiliations: Department of Computer Science, Tsinghua University; Institute for AI Industry Research (AIR), Tsinghua University; Gaoling School of Artificial Intelligence, Renmin University of China; Department of Computer Science, Tsinghua University
Conference: iclr 2024 (main track)
Keywords: Equivariant Graph Neural Network;rigid body protein-protein docking;interface fitting
Decision: Poster
Title: Long-Term Typhoon Trajectory Prediction: A Physics-Conditioned Approach Without Reanalysis Data
Authors: Young-Jae Park, Minseok Seo, Doyi Kim, Hyeri Kim, Sanghoon Choi, Beomkyu Choi, Jeongwon Ryu, Sohee Son, Hae-Gon Jeon, Yeji Choi
Affiliations: SI Analytics; The University of Manchester; Gwangju Institute of Science and Technology
Conference: iclr 2024 (main track)
Keywords: Weather Forecasting;Typhoon Trajectory Forecasting;Tropical Cyclone;Climate Change
Decision: Spotlight
Title: Nemesis: Normalizing the Soft-prompt Vectors of Vision-Language Models
Authors: Shuai Fu, Xiequn Wang, Qiushi Huang, Yu Zhang
Affiliations: Department of Computer Science and Engineering, Southern University of Science and Technology; Computer Science Research Centre, University of Surrey; Department of Computer Science and Engineering, Southern University of Science and Technology
Conference: iclr 2024 (main track)
Keywords: Vision-language models; Soft-prompt tuning; Low-norm effect; Normalizing soft prompts
Decision: Spotlight
Title: Get What You Want, Not What You Don't: Image Content Suppression for Text-to-Image Diffusion Models
Authors: Senmao Li, Joost van de Weijer, taihang Hu, Fahad Khan, Qibin Hou, Yaxing Wang, jian Yang
Affiliations: Mohamed bin Zayed University of AI, Linköping University; VCIP, CS, Nankai University; Universitat Autònoma de Barcelona
Conference: iclr 2024 (main track)
Keywords: Diffusion model; Content Suppression; Image Editing; Text Embeddings
Decision: Poster
Title: Enhancing Small Medical Learners with Privacy-preserving Contextual Prompting
Authors: xinlu zhang, Shiyang Li, Xianjun Yang, Chenxin Tian, Yao Qin, Linda Petzold
Affiliations: Chinese Academy of Medical Sciences and Peking Union Medical College; University of California, Santa Barbara
Conference: iclr 2024 (main track)
Keywords: natural language processing;large language model prompting;application in healthcare;privacy
Decision: Poster
Title: Out-of-Variable Generalisation for Discriminative Models
Authors: Siyuan Guo, Jonas Wildberger, Bernhard Schoelkopf
Affiliations: Max Planck Institute for Intelligent Systems, Tübingen, Germany; University of Cambridge, United Kingdom; Max Planck Institute for Intelligent Systems, Tübingen, Germany
Conference: iclr 2024 (main track)
Keywords: Out-of-Variable Generalization;Causality
Decision: Poster
Title: Learning Mean Field Games on Sparse Graphs: A Hybrid Graphex Approach
Authors: Christian Fabian, Kai Cui, Heinz Koeppl
Affiliations: Dept. of Electrical Engineering and Information Technology, Technische Universität Darmstadt
Conference: iclr 2024 (main track)
Keywords: Mean Field Games;Equilibrium Learning;Networks;Large Graphs;Multi Agent Systems
Decision: Poster
Title: On the generalization capacity of neural networks during generic multimodal reasoning
Authors: Takuya Ito, Soham Dan, Mattia Rigotti, James Kozloski, Murray Campbell
Affiliations: T.J. Watson Research Center, IBM Research; Zurich IBM Research; US IBM Research
Conference: iclr 2024 (main track)
Keywords: compositional generalization;compositionality;representation learning;out-of-distribution generalization;multimodal reasoning
Decision: Poster
Title: Breaking Physical and Linguistic Borders: Multilingual Federated Prompt Tuning for Low-Resource Languages
Authors: Wanru Zhao, Royson Lee, Yihong Chen, Xinchi Qiu, Yan Gao, Hongxiang Fan, Nic Lane
Affiliations: University of Cambridge; Flower Labs; University College London; Samsung AI Center, Cambridge
Conference: iclr 2024 (main track)
Keywords: Multilingual Federated Learning;Natural Language Processing
Decision: Poster
Title: BEVDistill: Cross-Modal BEV Distillation for Multi-View 3D Object Detection
Authors: Zehui Chen, Zhenyu Li, Shiquan Zhang, Liangji Fang, Qinhong Jiang, Feng Zhao
Conference: iclr 2023 (main track)
Keywords: object detection;3d detection;BEV perception
Decision: Poster
Title: NTK-SAP: Improving neural network pruning by aligning training dynamics
Authors: Yite Wang, Dawei Li, Ruoyu Sun
Affiliations: University of Illinois Urbana-Champaign, USA; Shenzhen International Center for Industrial and Applied Mathematics, Shenzhen Research Institute of Big Data, School of Data Science, The Chinese University of Hong Kong, Shenzhen, China
Conference: iclr 2023 (main track)
Keywords: empirical deep learning;pruning at initialization;neural network pruning
Decision: Poster
Title: GLM-130B: An Open Bilingual Pre-trained Model
Authors: Aohan Zeng, Xiao Liu, Zhengxiao Du, Zihan Wang, Hanyu Lai, Ming Ding, Zhuoyi Yang, Yifan Xu, Wendi Zheng, Xiao Xia, Weng Lam Tam, Zixuan Ma, Yufei Xue, Jidong Zhai, Wenguang Chen, Zhiyuan Liu, Peng Zhang, Yuxiao Dong, Jie Tang
Affiliations: Zhipu.AI; Tsinghua University
Conference: iclr 2023 (main track)
Decision: Poster
Title: An Exact Poly-Time Membership-Queries Algorithm for Extracting a Three-Layer ReLU Network
Authors: Amit Daniely, Elad Granot
Affiliations: School of Computer Science and Engineering, The Hebrew University; School of Computer Science and Engineering, The Hebrew University and Google Research Tel-Aviv
Conference: iclr 2023 (main track)
Keywords: Learning With Queries;ReLU Networks;Model Extraction
Decision: Poster
Title: Generalization Bounds for Federated Learning: Fast Rates, Unparticipating Clients and Unbounded Losses
Authors: Xiaolin Hu, Shaojie Li, Yong Liu
Affiliations: Gaoling School of Artificial Intelligence, Renmin University of China, Beijing, China
Conference: iclr 2023 (main track)
Keywords: Federated learning;Generalization error;Risk bound;Unbounded losses;Learning theory
Decision: Poster
Title: Learning Kernelized Contextual Bandits in a Distributed and Asynchronous Environment
Authors: Chuanhao Li, Huazheng Wang, Mengdi Wang, Hongning Wang
Affiliations: Oregon State University; University of Virginia; Princeton University
Conference: iclr 2023 (main track)
Keywords: contextual bandit;kernelized method;asynchronous distributed learning;communication efficiency
Decision: Poster
Title: Learning Domain-Agnostic Representation for Disease Diagnosis
Authors: Churan Wang, Jing Li, Xinwei Sun, Fandong Zhang, Yizhou Yu, Yizhou Wang
Affiliations: Department of Computer Science, The University of Hong Kong; School of Computer Science, Peking University; School of data Science, Fudan University; CFCS, School of CS, Inst. for AI, Peking University; AI lab, Deepwise, Beijing, China
Conference: iclr 2023 (main track)
Keywords: multi centers disease diagnosis;mammogram classification
Decision: Poster
Title: Task-Aware Information Routing from Common Representation Space in Lifelong Learning
Authors: Prashant Bhat, Bahram Yoosefizonooz, Elahe Arani
Affiliations: Dep. of Mathematics and Computer Science, Eindhoven University of Technology, Netherlands; Advanced Research Lab, NavInfo Europe, Netherlands
Conference: iclr 2023 (main track)
Keywords: Continual learning;Lifelong learning;Representation learning;Global workspace theory;Task-specific attention
Decision: Poster
Title: Formal Mathematics Statement Curriculum Learning
Authors: Stanislas Polu, Jesse Han, Kunhao Zheng, Mantas Baksys, Igor Babuschkin, Ilya Sutskever
Affiliations: École Polytechnique; Multi Technologies; OpenAI; DeepMind; University of Cambridge
Conference: iclr 2023 (main track)
Keywords: neural theorem proving;formal mathematics;language modeling;expert iteration
Decision: Top-25%
Title: Risk-Aware Reinforcement Learning with Coherent Risk Measures and Non-linear Function Approximation
Authors: Thanh Steve Lam, Arun Verma, Bryan Kian Hsiang Low, Patrick Jaillet
Affiliations: Department of Computer Science, National University of Singapore, Republic of Singapore; Department of Electrical Engineering and Computer Science, MIT, USA
Conference: iclr 2023 (main track)
Keywords: Risk-Aware Reinforcement Learning;Coherent Risk Measures;Non-linear Function Approximation
Decision: Poster
Title: Compositionality with Variation Reliably Emerges in Neural Networks
Authors: Henry Conklin, Kenny Smith
Affiliations: Institute of Language Cognition and Computation, School of Informatics, The University of Edinburgh; Centre for Language Evolution, School of Philosophy Psychology and Language Sciences, The University of Edinburgh
Conference: iclr 2023 (main track)
Keywords: compositionality;emergence;generalization;regularity
Decision: Poster
Title: Recitation-Augmented Language Models
Authors: Zhiqing Sun, Xuezhi Wang, Yi Tay, Yiming Yang, Denny Zhou
Affiliations: Language Technologies Institute, Carnegie Mellon University; Google Research, Brain Team; Google Research, Brain Team; Language Technologies Institute, Carnegie Mellon University
Conference: iclr 2023 (main track)
Keywords: Large Language Models;In-context Learning;Memorization;Closed-book Question Answering;CBQA
Decision: Poster
Title: Monocular Scene Reconstruction with 3D SDF Transformers
Authors: Weihao Yuan, Xiaodong Gu, Heng Li, Zilong Dong, Siyu Zhu
Affiliations: Alibaba Group
Conference: iclr 2023 (main track)
Keywords: 3D Reconstruction;Monocular Scene Reconstruction;3D Transformer;TSDF volume
Decision: Poster