hunoutl/paperlists huggingface dataset:
Title: BroGNet: Momentum-Conserving Graph Neural Stochastic Differential Equation for Learning Brownian Dynamics
Authors: Suresh Suresh, Jayadeva Jayadeva, Sayan Ranu, N. M. Anoop Krishnan
Affiliations: Indian Institute of Technology Delhi, Hauz Khas, New Delhi, India 110016
Conference: iclr 2024 (main track)
Keywords: Brownian dynamics;stochastic differential equation;graph neural network;scientific machine learning
Decision: Poster
Title: Deep SE(3)-Equivariant Geometric Reasoning for Precise Placement Tasks
Authors: Ben Eisner, Yi Yang, Todor Davchev, Mel Vecerik, Jonathan Scholz, David Held
Affiliations: Carnegie Mellon University; Google DeepMind
Conference: iclr 2024 (main track)
Keywords: Learning from Demonstration;Manipulation;3D Learning;SE(3) Equivariance
Decision: Poster
Title: Instant3D: Fast Text-to-3D with Sparse-view Generation and Large Reconstruction Model
Authors: Jiahao Li, Hao Tan, Kai Zhang, Zexiang Xu, Fujun Luan, Yinghao Xu, Yicong Hong, Kalyan Sunkavalli, Greg Shakhnarovich, Sai Bi
Conference: iclr 2024 (main track)
Keywords: text-to-3d;generative models;diffusion models;3D reconstruction;3D generation;sparse-view reconstruction
Decision: Poster
Title: Ferret: Refer and Ground Anything Anywhere at Any Granularity
Authors: Haoxuan You, Haotian Zhang, Zhe Gan, Xianzhi Du, Bowen Zhang, Zirui Wang, Liangliang Cao, Shih-Fu Chang, Yinfei Yang
Conference: iclr 2024 (main track)
Keywords: Ferret;Multimodal Large Language Model;Referring;Grounding
Decision: Spotlight
Title: Light-MILPopt: Solving Large-scale Mixed Integer Linear Programs with Lightweight Optimizer and Small-scale Training Dataset
Authors: Huigen Ye, Hua Xu, Hongyan Wang
Affiliations: Beijing National Research Center for Information Science and Technology(BNRist), Beijing 100084, China; State Key Laboratory of Intelligent Technology and Systems, Department of Computer Science and Technology, Tsinghua University, Beijing 100084, China
Conference: iclr 2024 (main track)
Keywords: Large-scale MILP;Learning for Optimization;Lightweight Optimization Framework
Decision: Poster
Title: SparseFormer: Sparse Visual Recognition via Limited Latent Tokens
Authors: Ziteng Gao, Zhan Tong, Limin Wang, Mike Zheng Shou
Affiliations: Show Lab, National University of Singapore; Ant Group; Nanjing University
Conference: iclr 2024 (main track)
Keywords: sparse visual recognition;vision transformer;computer vision;representation learning
Decision: Poster
Title: Enabling Lanuguage Models to Implicitly Learn Self-Improvement
Authors: Ziqi Wang, Le Hou, Tianjian Lu, Yuexin Wu, Yunxuan Li, Hongkun Yu, Heng Ji
Affiliations: University of Illinois Urbana-Champaign; Google
Conference: iclr 2024 (main track)
Keywords: large language models; self-improvement; alignment
Decision: Poster
Title: Separating common from salient patterns with Contrastive Representation Learning
Authors: Robin Louiset, Edouard Duchesnay, Grigis Antoine, Pietro Gori
Affiliations: NeuroSpin, University Paris Saclay, France; LTCI, Télémétrie Paris, IPParis, France; NeuroSpin, University Paris Saclay, France and LTCI, Télémétrie Paris, IPParis, France
Conference: iclr 2024 (main track)
Keywords: Contrastive Learning;Mutual Information;Contrastive Analysis;Disentanglement
Decision: Poster
Title: Repelling Random Walks
Authors: Isaac Reid, Eli Berger, Krzysztof Choromanski, Adrian Weller
Affiliations: University of Cambridge, Alan Turing Institute; University of Cambridge; Google DeepMind; University of Haifa
Conference: iclr 2024 (main track)
Keywords: Graphs;random walkers;quasi-Monte Carlo;kernel;PageRank;graphlets;scalable;mixing
Decision: Poster
Title: DDMI: Domain-agnostic Latent Diffusion Models for Synthesizing High-Quality Implicit Neural Representations
Authors: Dogyun Park, Sihyeon Kim, Sojin Lee, Hyunwoo Kim
Affiliations: Department of Computer Science, Korea University, Seoul, South Korea
Conference: iclr 2024 (main track)
Keywords: Implicit neural representation;generative model;domain agnostic;diffusion model
Decision: Poster
Title: Polynomial Width is Sufficient for Set Representation with High-dimensional Features
Authors: Peihao Wang, Shenghao Yang, Shu Li, Zhangyang Wang, Pan Li
Affiliations: Georgia Tech; University of Texas at Austin; Purdue University; University of Waterloo
Conference: iclr 2024 (main track)
Keywords: Set Representation; Permutation Invariance; Permutation Equivariance
Decision: Poster
Title: Beating Price of Anarchy and Gradient Descent without Regret in Potential Games
Authors: Iosif Sakos, Stefanos Leonardos, Stelios Stavroulakis, William Overman, Ioannis Panageas, Georgios Piliouras
Affiliations: King’s College London; Singapore University of Technology and Design; Graduate School of Business, Stanford University; UC Irvine
Conference: iclr 2024 (main track)
Keywords: q-replicator dynamics;potential games;average price of anarchy;learning
Decision: Poster
Title: Language Model Self-improvement by Reinforcement Learning Contemplation
Authors: Jing-Cheng Pang, Pengyuan Wang, Kaiyuan Li, XiongHui Chen, Jiacheng Xu, Zongzhang Zhang, Yang Yu
Affiliations: National Key Laboratory for Novel Software Technology, Nanjing University, China & School of Artificial Intelligence, Nanjing University, China; Polixir.ai; National Key Laboratory for Novel Software Technology, Nanjing University, China & School of Artificial Intelligence, Nanjing University, China; Polixir.ai; Peng Cheng Laboratory, Shenzhen, 518055, China; National Key Laboratory for Novel Software Technology, Nanjing University, China & School of Artificial Intelligence, Nanjing University, China
Conference: iclr 2024 (main track)
Keywords: Reinforcement learning; language model self-improvement; text evaluation
Decision: Poster
Title: Training Unbiased Diffusion Models From Biased Dataset
Authors: Yeongmin Kim, Byeonghu Na, Minsang Park, JoonHo Jang, Dongjun Kim, Wanmo Kang, Il-chul Moon
Affiliations: KAIST, Summary.AI; KAIST
Conference: iclr 2024 (main track)
Keywords: diffusion model;density ratio estimation;dataset bias
Decision: Poster
Title: Self-Supervised Heterogeneous Graph Learning: a Homophily and Heterogeneity View
Authors: YUJIE MO, Feiping Nie, Ping Hu, Heng Tao Shen, Zheng Zhang, Xinchao Wang, Xiaofeng Zhu
Affiliations: National University of Singapore; School of Computer Science and Technology, Harbin Institute of Technology, Shenzhen; School of Artificial Intelligence, Optics and Electronics (iOPEN), Northwestern Polytechnical University; School of Computer Science and Engineering, University of Electronic Science and Technology of China
Conference: iclr 2024 (main track)
Keywords: Graph representation learning;Heterogeneous graph;Self-supervised learning
Decision: Poster
Title: On Harmonizing Implicit Subpopulations
Authors: Feng Hong, Jiangchao Yao, YUEMING LYU, Zhihan Zhou, Ivor Tsang, Ya Zhang, Yanfeng Wang
Affiliations: CFAR, Agency for Science, Technology and Research; IHPC, Agency for Science, Technology and Research; Nanyang Technological University; Shanghai Artificial Intelligence Laboratory; Cooperative Medianet Innovation Center, Shanghai Jiao Tong University; Cooperative Medianet Innovation Center, Shanghai Jiao Tong University; Shanghai Artificial Intelligence Laboratory; Cooperative Medianet Innovation Center, Shanghai Jiao Tong University; CFAR, Agency for Science, Technology and Research; IHPC, Agency for Science, Technology and Research
Conference: iclr 2024 (main track)
Keywords: imbalanced learning;subpopulation imbalance
Decision: Poster
Title: The Reasonableness Behind Unreasonable Translation Capability of Large Language Model
Authors: Tingchen Fu, lemao liu, Deng Cai, Guoping Huang, Shuming Shi, Rui Yan
Affiliations: Gaoling School of Artificial Intelligence, Renmin University of China; Tencent AI Lab
Conference: iclr 2024 (main track)
Keywords: large language model;translation;unintentional bilingualism
Decision: Poster
Title: CrIBo: Self-Supervised Learning via Cross-Image Object-Level Bootstrapping
Authors: Tim Lebailly, Thomas Stegmüller, Behzad Bozorgtabar, Jean-Philippe Thiran, Tinne Tuytelaars
Affiliations: KU Leuven; EPFL; CHUV
Conference: iclr 2024 (main track)
Keywords: self-supervised learning;representation learning
Decision: Spotlight
Title: Grokking as a First Order Phase Transition in Two Layer Networks
Authors: Noa Rubin, Inbar Seroussi, Zohar Ringel
Affiliations: Department of Applied Mathematics, School of Mathematical Sciences, Tel Aviv University, Tel Aviv 69978, Israel; Hebrew University, Racah Institute of Physics, Jerusalem, 9190401, Israel
Conference: iclr 2024 (main track)
Keywords: Grokking;deep neural networks;Gaussian Process;phase transitions
Decision: Poster
Title: Generalization error of spectral algorithms
Authors: Maksim Velikanov, Maxim Panov, Dmitry Yarotsky
Affiliations: Technology Innovation Institute, Ecole Polytechnique; Skoltech; MBZUAI
Conference: iclr 2024 (main track)
Keywords: gradient descent;kernel ridge regression;optimal algorithm;generalization;asymptotic error rates;power-laws
Decision: Spotlight
Title: BTR: Binary Token Representations for Efficient Retrieval Augmented Language Models
Authors: Qingqing Cao, Sewon Min, Yizhong Wang, Hannaneh Hajishirzi
Affiliations: Paul G. Allen School of Computer Science & Engineering, University of Washington
Conference: iclr 2024 (main track)
Keywords: language models;question answering;binary representations;retrieval-augmented language models
Decision: Spotlight
Title: Fusion Is Not Enough: Single Modal Attacks on Fusion Models for 3D Object Detection
Authors: Zhiyuan Cheng, Hongjun Choi, Shiwei Feng, James Liang, Guanhong Tao, Dongfang Liu, Michael Zuzak, Xiangyu Zhang
Affiliations: Purdue University; Rochester Institute of Technology; DGIST
Conference: iclr 2024 (main track)
Keywords: Adversarial Attacks;3D Object Detection;Autonomous Driving
Decision: Poster
Title: LEMON: Lossless model expansion
Authors: Yite Wang, Jiahao Su, Lu, Cong Xie, Tianyi Liu, Jianbo Yuan, Haibin Lin, Ruoyu Sun, Hongxia Yang
Affiliations: The Chinese University of Hong Kong, Shenzhen, China; Shenzhen Research Institute of Big Data; University of Illinois Urbana-Champaign, USA; ByteDance Inc.
Conference: iclr 2024 (main track)
Keywords: model growth;efficient deep learning;continual learning
Decision: Poster
Title: Continual Learning in the Presence of Spurious Correlations: Analyses and a Simple Baseline
Authors: Donggyu Lee, Sangwon Jung, Taesup Moon
Affiliations: ASRI / INMC / IPAI / AIIS, Seoul National University; Department of Electrical and Computer Engineering, Seoul National University; Department of Electrical and Computer Engineering, Sungkyunkwan University
Conference: iclr 2024 (main track)
Keywords: continual learning;bias;spurious correlation
Decision: Poster
Title: PoSE: Efficient Context Window Extension of LLMs via Positional Skip-wise Training
Authors: Dawei Zhu, Nan Yang, Liang Wang, Yifan Song, Wenhao Wu, Furu Wei, Sujian Li
Affiliations: School of Computer Science, Peking University; National Key Laboratory for Multimedia Information Processing, Peking University; Microsoft Corporation
Conference: iclr 2024 (main track)
Keywords: context window extension;efficiency;positional skip-wise training
Decision: Poster
Title: Take a Step Back: Evoking Reasoning via Abstraction in Large Language Models
Authors: Huaixiu Steven Zheng, Swaroop Mishra, Xinyun Chen, Heng-Tze Cheng, Ed H. Chi, Quoc V Le, Denny Zhou
Affiliations: Google DeepMind
Conference: iclr 2024 (main track)
Keywords: Prompting;Large Language Models;Reasoning;Abstraction
Decision: Poster
Title: Identifying Representations for Intervention Extrapolation
Authors: Sorawit (James) Saengkyongam, Elan Rosenfeld, Pradeep K Ravikumar, Niklas Pfister, Jonas Peters
Conference: iclr 2024 (main track)
Keywords: causality;extrapolation;exogenous variables;causal representation learning;identifiable representation learning;control functions;instrumental variables;invariance
Decision: Poster
Title: Privately Aligning Language Models with Reinforcement Learning
Authors: Fan Wu, Huseyin Inan, Arturs Backurs, Varun Chandrasekaran, Janardhan Kulkarni, Robert Sim
Affiliations: University of Illinois Urbana-Champaign; M365 Research; Microsoft Research
Conference: iclr 2024 (main track)
Keywords: Large Language Models;RLHF;Alignment;Differential Privacy
Decision: Poster
Title: Efficient-3Dim: Learning a Generalizable Single-image Novel-view Synthesizer in One Day
Authors: Yifan Jiang, Hao Tang, Jen-Hao Chang, Liangchen Song, Zhangyang Wang, Liangliang Cao
Affiliations: Apple, University of Texas at Austin; University of Texas at Austin; Apple
Conference: iclr 2024 (main track)
Keywords: Novel View Synthesis;3D from Single Image;Efficient Training
Decision: Poster
Title: LEGO-Prover: Neural Theorem Proving with Growing Libraries
Authors: Haiming Wang, Huajian Xin, Chuanyang Zheng, Zhengying Liu, Qingxing Cao, Yinya Huang, Jing Xiong, Han Shi, Enze Xie, Jian Yin, Zhenguo Li, Xiaodan Liang
Affiliations: Huawei Noah’s Ark Lab; Sun Yat-sen University; The Chinese University of Hong Kong; City University of Hong Kong
Conference: iclr 2024 (main track)
Keywords: Theorem proving;Large language model;Autoformalization
Decision: Oral
Title: SEGNO: Generalizing Equivariant Graph Neural Networks with Physical Inductive Biases
Authors: Yang Liu, Jiashun Cheng, Haihong Zhao, Tingyang Xu, Peilin Zhao, Fugee Tsung, Jia Li, Yu Rong
Affiliations: The Hong Kong University of Science and Technology; Tencent AI Lab; The Hong Kong University of Science and Technology (Guangzhou)
Conference: iclr 2024 (main track)
Keywords: Equivariant Graph Neural Network;Graph Neural Network
Decision: Spotlight
Title: Where We Have Arrived in Proving the Emergence of Sparse Interaction Primitives in DNNs
Authors: Qihan Ren, Jiayang Gao, Wen Shen, Quanshi Zhang
Affiliations: Shanghai Jiao Tong University
Conference: iclr 2024 (main track)
Keywords: Explainable AI;Neural networks;Symbolism
Decision: Poster
Title: Rethinking the Uniformity Metric in Self-Supervised Learning
Authors: Xianghong Fang, Jian Li, Qiang Sun, Wang Benyou
Affiliations: The Chinese University of Hong Kong, Shenzhen; The Chinese University of Hong Kong, Shenzhen & SRIBD; Tencent AI Lab; University of Toronto & MBZUAI
Conference: iclr 2024 (main track)
Keywords: Effective uniformity metrics;dimensional collapse;Wasserstein distance;self-supervised learning
Decision: Poster
Title: LRR: Language-Driven Resamplable Continuous Representation against Adversarial Tracking Attacks
Authors: Jianlang Chen, Xuhong Ren, Qing Guo, Felix Juefei-Xu, Di Lin, Wei Feng, Lei Ma, Jianjun Zhao
Affiliations: CFAR and IHPC, Agency for Science, Technology and Research (A*STAR), Singapore; GenAI, Meta, USA; Kyushu University, Japan; Tianjin University of Technology, China; The University of Tokyo, Japan; Tianjin University, China
Conference: iclr 2024 (main track)
Keywords: Tracking defence;spatial-temporal implicit representation;languange-image model
Decision: Poster
Title: Boosting Vanilla Lightweight Vision Transformers via Re-parameterization
Authors: Zhentao Tan, Xiaodan Li, Yue Wu, Qi Chu, Le Lu, Nenghai Yu, Jieping Ye
Affiliations: Alibaba Group, East China Normal University; Alibaba Cloud, University of Science and Technology of China; Alibaba Cloud; Alibaba Group; University of Science and Technology of China
Conference: iclr 2024 (main track)
Keywords: Vision Transformers;Re-parameterization;Lightweight Models
Decision: Poster
Title: Generative Learning for Solving Non-Convex Problem with Multi-Valued Input-Solution Mapping
Authors: Enming Liang, Minghua Chen
Affiliations: School of Data Science, City University of Hong Kong
Conference: iclr 2024 (main track)
Keywords: Non-convex optimization;Multi-valued solution mapping;Generative model;Ordinary differential equation;Supervised learning
Decision: Poster
Title: Brain decoding: toward real-time reconstruction of visual perception
Authors: Yohann Benchetrit, Hubert Banville, Jean-Remi King
Affiliations: FAIR, Meta; Laboratoire des Systèmes Perceptifs, École Normale Supérieure, PSL University
Conference: iclr 2024 (main track)
Keywords: brain decoding;neuroimaging;image generation;visual perception
Decision: Poster
Title: T-Rep: Representation Learning for Time Series using Time-Embeddings
Authors: Archibald Fraikin, Adrien Bennetot, Stephanie Allassonniere
Affiliations: Let it Care, PariSanté Campus, Paris, France; Université Paris Cité, INRIA, Inserm, SU Centre de Recherche des Cordeliers, Paris
Conference: iclr 2024 (main track)
Keywords: Multivariate time series;Self-supervised;Time series representations;Temporal features;Time-Embeddings;Representation Learning;Missing data
Decision: Poster
Title: Geometrically Aligned Transfer Encoder for Inductive Transfer in Regression Tasks
Authors: Sung Moon Ko, Sumin Lee, Dae-Woong Jeong, Woohyung Lim, Sehui Han
Affiliations: LG AI Research
Conference: iclr 2024 (main track)
Keywords: Transfer Learning;Inductive Transfer;Geometrical Deeplearning;Regression
Decision: Poster
Title: On-Policy Distillation of Language Models: Learning from Self-Generated Mistakes
Authors: Rishabh Agarwal, Nino Vieillard, Yongchao Zhou, Piotr Stanczyk, Sabela Ramos Garea, Matthieu Geist, Olivier Bachem
Affiliations: Google DeepMind; University of Toronto
Conference: iclr 2024 (main track)
Keywords: Language models;Distillation;RLHF
Decision: Poster
Title: REBAR: Retrieval-Based Reconstruction for Time-series Contrastive Learning
Authors: Maxwell Xu, Alexander Moreno, Hui Wei, Benjamin M Marlin, James Rehg
Affiliations: UMass Amherst; UIUC; Georgia Tech
Conference: iclr 2024 (main track)
Keywords: time-series;contrastive learning;masked reconstruction;self-supervised learning;imputation;unsupervised learning
Decision: Poster
Title: DORSal: Diffusion for Object-centric Representations of Scenes $\textit{et al.}$
Authors: Allan Jabri, Sjoerd van Steenkiste, Emiel Hoogeboom, Mehdi S. M. Sajjadi, Thomas Kipf
Affiliations: Google DeepMind; Google Research; UC Berkeley
Conference: iclr 2024 (main track)
Keywords: novel view synthesis;object-centric scene representations;camera control;scene editing;3D;diffusion;generative models
Decision: Poster
Title: Neural Rate Control for Learned Video Compression
Authors: yiwei zhang, Guo Lu, Yunuo Chen, Shen Wang, Yibo Shi, Jing Wang, Li Song
Affiliations: Huawei Technologies, Beijing, China; Institute of Image Communication and Network Engineering, Shanghai Jiao Tong University
Conference: iclr 2024 (main track)
Keywords: Video compression;End-to-end;Learning-based video coding;Rate Control.
Decision: Poster
Title: Understanding Expressivity of GNN in Rule Learning
Authors: Haiquan Qiu, Yongqi Zhang, Yong Li, Quanming Yao
Affiliations: Department of Electronic Engineering, Tsinghua University; The Hong Kong University of Science and Technology (Guangzhou)
Conference: iclr 2024 (main track)
Keywords: Graph Neural Networks;KG reasoning;Link prediction;Rule learning;Expressivity
Decision: Poster
Title: OPTIMAL ROBUST MEMORIZATION WITH RELU NEURAL NETWORKS
Authors: Lijia Yu, XIAOSHAN GAO, Lijun Zhang
Affiliations: Institute of Software, Chinese Academy of Sciences; University of Chinese Academy of Sciences; Institute of Software, Chinese Academy of Sciences; Academy of Mathematics and Systems Science, Chinese Academy of Sciences; Academy of Mathematics and Systems Science, Chinese Academy of Sciences; University of Chinese Academy of Sciences
Conference: iclr 2024 (main track)
Keywords: Memorization;expressive power of network;optimal robust memorization;computation complexity;Lipschitz constant
Decision: Spotlight
Title: Language Model Decoding as Direct Metrics Optimization
Authors: Haozhe Ji, Pei Ke, Hongning Wang, Minlie Huang
Affiliations: The CoAI Group, DCST, BNRist, Tsinghua University, Beijing 100084, China
Conference: iclr 2024 (main track)
Keywords: language model;decoding algorithm;energy-based model
Decision: Poster
Title: LCOT: Linear Circular Optimal Transport
Authors: ROCIO DIAZ MARTIN, Ivan Medri, Yikun Bai, Xinran Liu, Kangbai Yan, Gustavo Rohde, Soheil Kolouri
Affiliations: Department of Computer Science, Tennessee State University, Nashville, TN 37209, USA.; Department of Computer Science, Vanderbilt University, Nashville, TN 37240, USA.; Department of Biomedical Engineering, Department of Electrical and Computer Engineering, University of Virginia, Charlottesville, V A 22908, USA.; Department of Mathematics, Vanderbilt University, Nashville, TN 37240, USA.
Conference: iclr 2024 (main track)
Keywords: Optimal Transport;Circular Measure;Probability Metrics
Decision: Poster
Title: Mixed-Type Tabular Data Synthesis with Score-based Diffusion in Latent Space
Authors: Hengrui Zhang, Jiani Zhang, Zhengyuan Shen, Balasubramaniam Srinivasan, Xiao Qin, Christos Faloutsos, Huzefa Rangwala, George Karypis
Affiliations: Amazon Web Services; Amazon Web Services, Computer Science, George Mason University; Computer Science Department, University of Illinois at Chicago
Conference: iclr 2024 (main track)
Keywords: Tabular data;tabular generation;diffusion models
Decision: Oral
Title: Chameleon: Increasing Label-Only Membership Leakage with Adaptive Poisoning
Authors: Harsh Chaudhari, Giorgio Severi, Alina Oprea, Jonathan Ullman
Affiliations: Khoury College of Computer Sciences, Northeastern University, Boston, MA 02115, USA
Conference: iclr 2024 (main track)
Keywords: Privacy Attack;Membership Inference;Data Poisoning
Decision: Poster
Title: One For All: Towards Training One Graph Model For All Classification Tasks
Authors: Hao Liu, Jiarui Feng, Lecheng Kong, Ningyue Liang, Dacheng Tao, Yixin Chen, Muhan Zhang
Affiliations: Nanyang Technological University; Washington University in St. Louis; Peking University
Conference: iclr 2024 (main track)
Keywords: Graph Neural Network;Large Language Model;In-context Learning
Decision: Spotlight
Title: Curiosity-driven Red-teaming for Large Language Models
Authors: Zhang-Wei Hong, Idan Shenfeld, Johnson (Tsun-Hsuan) Wang, Yung-Sung Chuang, Aldo Pareja, James R Glass, Akash Srivastava, Pulkit Agrawal
Affiliations: Improbable AI Lab1, Massachusetts Institute of Technology2; Massachusetts Institute of Technology2; MIT-IBM Watson AI Lab3
Conference: iclr 2024 (main track)
Keywords: Curiosity-driven exploration;Reinforcement learning;Language model
Decision: Poster
Title: Chain-of-Table: Evolving Tables in the Reasoning Chain for Table Understanding
Authors: Zilong Wang, Hao Zhang, Chun-Liang Li, Julian M Eisenschlos, Vincent Perot, Zifeng Wang, Lesly Miculicich, Yasuhisa Fujii, Jingbo Shang, Chen-Yu Lee, Tomas Pfister
Affiliations: Google Cloud AI Research; University of California, San Diego; Google Research
Conference: iclr 2024 (main track)
Keywords: Table Understanding;In-context Learning;Large Language Model
Decision: Poster
Title: Deep Reinforcement Learning for Modelling Protein Complexes
Authors: Tao Feng, Ziqi Gao, Jiaxuan You, Chenyi Zi, Yan Zhou, Chen Zhang, Jia Li
Affiliations: HKUST (GZ); UIUC; Createlink Technology; HKUST
Conference: iclr 2024 (main track)
Keywords: protein complex structure prediction;docking path prediction;policy network;reinforcement learning
Decision: Poster
Title: Weakly-supervised Audio Separation via Bi-modal Semantic Similarity
Authors: Tanvir Mahmud, Saeed Amizadeh, Kazuhito Koishida, Diana Marculescu
Affiliations: The University of Texas at Austin, USA; Microsoft Corporation
Conference: iclr 2024 (main track)
Keywords: Audio-language learning;conditional audio separation;unsupervised learning;weakly supervised learning;semi-supervised learning
Decision: Poster
Title: DAM: Towards a Foundation Model for Forecasting
Authors: Luke Darlow, Qiwen Deng, Ahmed Hassan, Martin Asenov, Rajkarn Singh, Artjom Joosen, Adam Barker, Amos Storkey
Affiliations: Systems Infrastructure Research, Edinburgh Research Centre, Central Software Institute, Huawei, Edinburgh, UK; School of Informatics, University of Edinburgh, Edinburgh, UK; Systems Infrastructure Research, Edinburgh Research Centre, Central Software Institute, Huawei, Edinburgh, UK; School of Computer Science, University of St Andrews, UK
Conference: iclr 2024 (main track)
Keywords: Forecasting;time series;foundation model;transfer learning;imputation
Decision: Poster