hunoutl/paperlists huggingface dataset:
Title: GPAvatar: Generalizable and Precise Head Avatar from Image(s)
Authors: Xuangeng Chu, Yu Li, Ailing Zeng, Tianyu Yang, Lijian Lin, Yunfei Liu, Tatsuya Harada
Affiliations: The University of Tokyo, RIKEN AIP; The University of Tokyo, International Digital Economy Academy (IDEA); International Digital Economy Academy (IDEA)
Conference: iclr 2024 (main track)
Keywords: NeRF;Head Avatar;Dynamic NeRF
Decision: Poster
Title: A path-norm toolkit for modern networks: consequences, promises and challenges
Authors: Antoine Gonon, Nicolas Brisebarre, Elisa Riccietti, Rémi Gribonval
Affiliations: Univ Lyon, EnsL, UCBL, CNRS, Inria, LIP, F-69342, LYON Cedex 07, France
Conference: iclr 2024 (main track)
Keywords: ReLU neural networks;path-norm;generalization;contraction lemma;peeling
Decision: Spotlight
Title: Better Neural PDE Solvers Through Data-Free Mesh Movers
Authors: Peiyan Hu, Yue Wang, Zhi-Ming Ma
Affiliations: Microsoft Research AI4Science; Academy of Mathematics and Systems Science, Chinese Academy of Sciences
Conference: iclr 2024 (main track)
Keywords: neural PDE solvers;adaptive moving mesh;neural operators;Monge-Ampère equation
Decision: Poster
Title: Finetuning Text-to-Image Diffusion Models for Fairness
Authors: Xudong Shen, Chao Du, Tianyu Pang, Min Lin, Yongkang Wong, Mohan Kankanhalli
Affiliations: ISEP programme, NUS Graduate School, National University of Singapore; School of Computing, National University of Singapore; Sea AI Lab, Singapore
Conference: iclr 2024 (main track)
Keywords: Fairness;Alignment;Diffusion Models;Text-to-Image Generation
Decision: Oral
Title: InstructDET: Diversifying Referring Object Detection with Generalized Instructions
Authors: Ronghao Dang, Jiangyan Feng, Haodong Zhang, Chongjian GE, Lin Song, Lijun GONG, Chengju Liu, Qijun Chen, Feng Zhu, Rui Zhao, Yibing Song
Affiliations: SenseTime Research; The University of Hong Kong; Tongji University; Alibaba DAMO Academy; Tencent AI Lab
Conference: iclr 2024 (main track)
Keywords: Referring Object Detection; Visual Grounding; Foundation Models
Decision: Poster
Title: Information Bottleneck Analysis of Deep Neural Networks via Lossy Compression
Authors: Ivan Butakov, Aleksandr Tolmachev, Sofia Malanchuk, Anna Neopryatnaya, Alexey Frolov, Kirill Andreev
Affiliations: Skolkovo Institute of Science and Technology; Moscow Institute of Physics and Technology; Sirius University of Science and Technology; Skolkovo Institute of Science and Technology; Skolkovo Institute of Science and Technology; Moscow Institute of Physics and Technology
Conference: iclr 2024 (main track)
Keywords: deep learning;information bottleneck principle;stochastic neural networks;lossy compression
Decision: Poster
Title: Strategic Preys Make Acute Predators: Enhancing Camouflaged Object Detectors by Generating Camouflaged Objects
Authors: Chunming He, Kai Li, Yachao Zhang, Yulun Zhang, Chenyu You, zhenhua guo, Xiu Li, Martin Danelljan, Fisher Yu
Affiliations: Shenzhen International Graduate School, Tsinghua University; Yale University; NEC Laboratories America; ETH Zürich; Tianyi Traffic Technology
Conference: iclr 2024 (main track)
Keywords: camouflaged object detection;adversarial training;image segmentation
Decision: Poster
Title: EventRPG: Event Data Augmentation with Relevance Propagation Guidance
Authors: Mingyuan Sun, Donghao Zhang, Zongyuan Ge, Jiaxu Wang, Jia Li, Zheng Fang, Renjing Xu
Affiliations: Seeing Machines; Monash University; Northeastern University; Peking University; The Hong Kong University of Science and Technology (Guangzhou)
Conference: iclr 2024 (main track)
Keywords: Spiking Neural Network;Event Camera;Data Augmentation
Decision: Poster
Title: Scaling Laws for Sparsely-Connected Foundation Models
Authors: Elias Frantar, Carlos Riquelme Ruiz, Neil Houlsby, Dan Alistarh, Utku Evci
Affiliations: ISTAustria; Google DeepMind
Conference: iclr 2024 (main track)
Keywords: sparsity;scaling;optimal sparsity;efficiency;foundational models;transformers;structured sparsity;pruning
Decision: Spotlight
Title: Asymptotically Free Sketched Ridge Ensembles: Risks, Cross-Validation, and Tuning
Authors: Pratik Patil, Daniel LeJeune
Affiliations: Department of Statistics, University of California, Berkeley, California, CA 94720, USA; Department of Statistics, Stanford University, California, CA 94305, USA
Conference: iclr 2024 (main track)
Keywords: asymptotic freeness;sketching;ensembles;ridge regression;generalized cross-validation;tuning
Decision: Spotlight
Title: Negatively Correlated Ensemble Reinforcement Learning for Online Diverse Game Level Generation
Authors: Ziqi Wang, Chengpeng Hu, Jialin Liu, Xin Yao
Affiliations: Department of Computing and Decision Sciences, Lingnan University; Department of Computer Science and Engineering, Southern University of Science and Technology
Conference: iclr 2024 (main track)
Keywords: Level Generation;Video Games;Deep Reinforcement Learning;Ensemble Learning;Regularisation
Decision: Poster
Title: Neural Contractive Dynamical Systems
Authors: Hadi Beik Mohammadi, Søren Hauberg, Georgios Arvanitidis, Nadia Figueroa, Gerhard Neumann, Leonel Rozo
Affiliations: University of Pennsylvania (UPenn); Bosch Center for Artificial Intelligence (BCAI); Technical University of Denmark (DTU); Karlsruhe Institute of Technology (KIT)
Conference: iclr 2024 (main track)
Keywords: learning from demonstration;dynamical systems;contraction theory
Decision: Spotlight
Title: Rethinking Backdoor Attacks on Dataset Distillation: A Kernel Method Perspective
Authors: Ming-Yu Chung, Sheng-Yen Chou, Chia-Mu Yu, Pin-Yu Chen, Sy-Yen Kuo, Tsung-Yi Ho
Affiliations: National Yang Ming Chiao Tung University; National Taiwan University; IBM Research; The Chinese University of Hong Kong
Conference: iclr 2024 (main track)
Keywords: Backdoor;Trigger;Dataset Condensation;Dataset Distillation
Decision: Poster
Title: Poly-View Contrastive Learning
Authors: Amitis Shidani, Dan Busbridge, R Devon Hjelm, Jason Ramapuram, Eeshan Gunesh Dhekane, Russell Webb
Affiliations: Apple; Department of Statistics, University of Oxford, UK; Apple, dbusbridge@apple.com
Conference: iclr 2024 (main track)
Keywords: Contrastive learning;Self-Supervised Learning;SimCLR;Multi-View;Augmentations;Multiplicity;InfoMax;Sufficient Statistics
Decision: Poster
Title: Disentangling Time Series Representations via Contrastive Independence-of-Support on l-Variational Inference
Authors: Khalid OUBLAL, Said Ladjal, David Benhaiem, Emmanuel LE BORGNE, François Roueff
Affiliations: OneTech TotalEnergies, DS&AI; Institute Polytechnique de Paris, Telecom Paris LTCI/S2A
Conference: iclr 2024 (main track)
Keywords: Learning disentangled representations;Generalization;Weak supervised learning;Appliance usage Electricity;Multi-modal learning
Decision: Poster
Title: ECoFLaP: Efficient Coarse-to-Fine Layer-Wise Pruning for Vision-Language Models
Authors: Yi-Lin Sung, Jaehong Yoon, Mohit Bansal
Affiliations: Department of Computer Science, UNC Chapel Hill
Conference: iclr 2024 (main track)
Keywords: multi-modal learning;model pruning;layer-wise pruning
Decision: Poster
Title: Identifying Policy Gradient Subspaces
Authors: Jan Schneider, Pierre Schumacher, Simon Guist, Le Chen, Daniel Häufle, Bernhard Schölkopf, Dieter Büchler
Affiliations: Max Planck Institute for Intelligent Systems, Tübingen, Germany; Hertie Institute for Clinical Brain Research, Tübingen, Germany
Conference: iclr 2024 (main track)
Keywords: reinforcement learning;policy gradients;gradient subspaces
Decision: Poster
Title: Deceptive Fairness Attacks on Graphs via Meta Learning
Authors: Jian Kang, Yinglong Xia, Ross Maciejewski, Jiebo Luo, Hanghang Tong
Affiliations: University of Rochester; University of Illinois Urbana-Champaign; Meta; Arizona State University
Conference: iclr 2024 (main track)
Keywords: graph learning;fairness;adversarial attacks
Decision: Poster
Title: Kernelised Normalising Flows
Authors: Eshant English, Matthias Kirchler, Christoph Lippert
Affiliations: Hasso Plattner Institute for Digital Engineering, Germany; University of Kaiserslautern-Landau, Germany; Hasso Plattner Institute for Digital Health at the Icahn School of Medicine at Mount Sinai, NYC, USA
Conference: iclr 2024 (main track)
Keywords: Machine Learning;Maximum Likelihood;Density Estimation;Statistics;Kernels
Decision: Poster
Title: Contrastive Preference Learning: Learning from Human Feedback without Reinforcement Learning
Authors: Joey Hejna, Rafael Rafailov, Harshit Sikchi, Chelsea Finn, Scott Niekum, W. Bradley Knox, Dorsa Sadigh
Affiliations: Stanford University; UT Austin; UMass Amherst
Conference: iclr 2024 (main track)
Keywords: reinforcement learning from human feedback;preference-based RL;human-in-the-loop RL;preference learning
Decision: Poster
Title: On the Hardness of Online Nonconvex Optimization with Single Oracle Feedback
Authors: Ziwei Guan, Yi Zhou, Yingbin Liang
Affiliations: Department of Electrical and Computer Engineering, Ohio State University; Department of Electrical and Computer Engineering, University of Utah
Conference: iclr 2024 (main track)
Keywords: online nonconvex optimization;local regret;optimal rate analysis
Decision: Poster
Title: Identifiable Latent Polynomial Causal Models through the Lens of Change
Authors: Yuhang Liu, Zhen Zhang, Dong Gong, Mingming Gong, Biwei Huang, Anton Hengel, Kun Zhang, Qinfeng Shi
Affiliations: Halicioğlu Data Science Institute (HDSI), University of California San Diego, USA; Department of Philosophy, Carnegie Mellon University, USA; Australian Institute for Machine Learning, The University of Adelaide, Australia; School of Mathematics and Statistics, The University of Melbourne, Australia; School of Computer Science and Engineering, The University of New South Wales, Australia
Conference: iclr 2024 (main track)
Keywords: Latent Causal Models;Causal Representations;Identifiability;Representation Learning
Decision: Poster
Title: CausalTime: Realistically Generated Time-series for Benchmarking of Causal Discovery
Authors: YUXIAO CHENG, Ziqian Wang, Tingxiong Xiao, Qin Zhong, Jinli Suo, Kunlun He
Affiliations: Chinese PLA General Hospital; Department of Automation, Tsinghua University; Department of Automation, Tsinghua University; Institute for Brain and Cognitive Science, Tsinghua University (THUIBCS)
Conference: iclr 2024 (main track)
Keywords: Time series;Causal discovery;Neural networks;Benchmark;Dataset
Decision: Poster
Title: Epitopological learning and Cannistraci-Hebb network shape intelligence brain-inspired theory for ultra-sparse advantage in deep learning
Authors: Yingtao Zhang, Jialin Zhao, Wenjing Wu, Alessandro Muscoloni, Carlo Vittorio Cannistraci
Affiliations: Center for Complex Network Intelligence (CCNI), Tsinghua Laboratory of Brain and Intelligence (THBI), Department of Computer Science, Department of Biomedical Engineering, Tsinghua University, Beijing, China.; Center for Complex Network Intelligence (CCNI), Tsinghua Laboratory of Brain and Intelligence (THBI), Department of Computer Science, Department of Biomedical Engineering, Tsinghua University, Beijing, China. ∗Corresponding author, kalokagathos.agon@gmail.com
Conference: iclr 2024 (main track)
Keywords: Sparse Training;Network Science;Epitopological Learning;Network Automata;Network Percolation;Hyperbolic Network
Decision: Poster
Title: Dissecting Sample Hardness: A Fine-Grained Analysis of Hardness Characterization Methods for Data-Centric AI
Authors: Nabeel Seedat, Fergus Imrie, Mihaela van der Schaar
Affiliations: University of Cambridge; UCLA
Conference: iclr 2024 (main track)
Keywords: data-centric AI;hardness characterization;data-centric ML;DMLR;benchmarking
Decision: Poster
Title: First-order ANIL provably learns representations despite overparametrisation
Authors: Oğuz Kaan Yüksel, Etienne Boursier, Nicolas Flammarion
Affiliations: INRIA, Universit ´e Paris Saclay, LMO; TML Lab, EPFL
Conference: iclr 2024 (main track)
Keywords: meta-learning;misspecification;overparametrization;pretraining;optimization
Decision: Poster
Title: USB-NeRF: Unrolling Shutter Bundle Adjusted Neural Radiance Fields
Authors: Moyang Li, Peng Wang, Lingzhe Zhao, Bangyan Liao, Peidong Liu
Affiliations: Westlake University; Westlake University, ETH Zürich; Westlake University, Zhejiang University
Conference: iclr 2024 (main track)
Keywords: Neural Radiance Fields;Bundle Adjustment;Rolling Shutter
Decision: Poster
Title: FreeNoise: Tuning-Free Longer Video Diffusion via Noise Rescheduling
Authors: Haonan Qiu, Menghan Xia, Yong Zhang, Yingqing He, Xintao Wang, Ying Shan, Ziwei Liu
Affiliations: Nanyang Technological University; Tencent AI Lab, Hong Kong University of Science and Technology; Tencent AI Lab
Conference: iclr 2024 (main track)
Keywords: diffusion;video diffusion;video generation;tuning-free
Decision: Poster
Title: A Neural Framework for Generalized Causal Sensitivity Analysis
Authors: Dennis Frauen, Fergus Imrie, Alicia Curth, Valentyn Melnychuk, Stefan Feuerriegel, Mihaela van der Schaar
Affiliations: 4University of Cambridge; 1LMU Munich, 2Munich Center for Machine Learning; 4University of Cambridge, 5Alan Turing Institute; 3UCLA
Conference: iclr 2024 (main track)
Keywords: Causal machine learning;treatment effect estimation;sensitivity analysis;unobserved confounding;uncertainty estimation
Decision: Poster
Title: Scaling Convex Neural Networks with Burer-Monteiro Factorization
Authors: Arda Sahiner, Tolga Ergen, Batu Ozturkler, John M Pauly, Morteza Mardani, Mert Pilanci
Affiliations: Stanford University; LG AI Research; NVIDIA Corporation; Arcus Inc., Stanford University
Conference: iclr 2024 (main track)
Keywords: burer-monteiro;convex optimization;neural networks;stationary points;global optima;relu activation
Decision: Poster
Title: How Do Transformers Learn In-Context Beyond Simple Functions? A Case Study on Learning with Representations
Authors: Tianyu Guo, Wei Hu, Song Mei, Huan Wang, Caiming Xiong, Silvio Savarese, Yu Bai
Affiliations: Salesforce AI Research; University of Michigan; UC Berkeley
Conference: iclr 2024 (main track)
Keywords: in-context learning;transformers;representation learning;learning theory;mechanistic understanding
Decision: Poster
Title: DOS: Diverse Outlier Sampling for Out-of-Distribution Detection
Authors: Wenyu Jiang, Hao Cheng, MingCai Chen, Chongjun Wang, Hongxin Wei
Affiliations: State Key Laboratory for Novel Software Technology, Nanjing University; Department of Statistics and Data Science, Southern University of Science and Technology
Conference: iclr 2024 (main track)
Keywords: out-of-distribution detection;data-centric artificial intelligence
Decision: Poster
Title: MAPE-PPI: Towards Effective and Efficient Protein-Protein Interaction Prediction via Microenvironment-Aware Protein Embedding
Authors: Lirong Wu, Yijun Tian, Yufei Huang, Siyuan Li, Haitao Lin, Nitesh Chawla, Stan Z Li
Affiliations: Westlake University; University of Notre Dame
Conference: iclr 2024 (main track)
Keywords: Bioinformatics;Protein-Protein Interaction;Protein Sequence-Structure Co-Modeling
Decision: Spotlight
Title: Learning Performance-Improving Code Edits
Authors: Alexander Shypula, Aman Madaan, Yimeng Zeng, Uri Alon, Jacob Gardner, Yiming Yang, Milad Hashemi, Graham Neubig, Parthasarathy Ranganathan, Osbert Bastani, Amir Yazdanbakhsh
Affiliations: Google DeepMind; Google; Carnegie Mellon University; University of Pennsylvania
Conference: iclr 2024 (main track)
Keywords: Large Language Models;Retrieval Augmented Generation;Program Synthesis;Program Optimization;Fine-Tuning;Goal-Conditioning;Data Augmentation;Self-Play;Synthetic Dataset;Performance Optimization;Machine Learning for Code Optimization;Dataset
Decision: Spotlight
Title: The Effect of Intrinsic Dataset Properties on Generalization: Unraveling Learning Differences Between Natural and Medical Images
Authors: Nicholas Konz, Maciej Mazurowski
Affiliations: Department of Electrical and Computer Engineering, Duke University, NC, USA; Department of Electrical and Computer Engineering, Department of Radiology, Department of Computer Science, Department of Biostatistics & Bioinformatics, Duke University, NC, USA
Conference: iclr 2024 (main track)
Keywords: generalization;medical images;scaling law;intrinsic dimension;medical image analysis
Decision: Poster
Title: Parameter-Efficient Multi-Task Model Fusion with Partial Linearization
Authors: Anke Tang, Li Shen, Yong Luo, Yibing Zhan, Han Hu, Bo Du, Yixin Chen, Dacheng Tao
Affiliations: Wuhan University, China; Beijing Institute of Technology, China; Washington University, USA; Nanyang Technological University, Singapore; JD Explore Academy, China
Conference: iclr 2024 (main track)
Keywords: model fusion;parameter-efficient fine-tuning
Decision: Poster
Title: Spoken Question Answering and Speech Continuation Using Spectrogram-Powered LLM
Authors: Eliya Nachmani, Alon Levkovitch, Roy Hirsch, Julian Salazar, Chulayuth Asawaroengchai, Soroosh Mariooryad, Ehud Rivlin, RJ Skerry-Ryan, Michele Tadmor Ramanovich
Affiliations: Verily AI; Google Research, Tel-Aviv Univeristy; Google Research
Conference: iclr 2024 (main track)
Keywords: Speech Continuation;Spoken Question Answering
Decision: Poster
Title: Training Graph Transformers via Curriculum-Enhanced Attention Distillation
Authors: Yisong Huang, Jin Li, Xinlong Chen, Yang-Geng Fu
Affiliations: College of Computer and Data Science, Fuzhou University, Fuzhou, China; College of Computer and Data Science, Fuzhou University, Fuzhou, China; AI Thrust, Information Hub, HKUST (Guangzhou), Guangzhou, China
Conference: iclr 2024 (main track)
Keywords: graph transformers;graph neural networks;knowledge distillation;curriculum learning;node classification
Decision: Poster
Title: Non-Exchangeable Conformal Risk Control
Authors: António Farinhas, Chrysoula Zerva, Dennis Ulmer, Andre Martins
Affiliations: IT University of Copenhagen, Pioneer Centre for Artificial Intelligence; Instituto de Telecomunicac ¸ ˜oes, Instituto Superior T ´ecnico, Universidade de Lisboa (Lisbon ELLIS Unit); Instituto de Telecomunicac ¸ ˜oes, Instituto Superior T ´ecnico, Universidade de Lisboa (Lisbon ELLIS Unit), Unbabel
Conference: iclr 2024 (main track)
Keywords: conformal prediction;conformal risk control;non-exchangeable data;uncertainty
Decision: Poster
Title: Safe Offline Reinforcement Learning with Feasibility-Guided Diffusion Model
Authors: Yinan Zheng, Jianxiong Li, Dongjie Yu, Yujie Yang, Shengbo Li, Xianyuan Zhan, Jingjing Liu
Affiliations: Institute for AI Industry Research (AIR), Tsinghua University; Department of Computer Science, The University of Hong Kong; School of Vehicle and Mobility, Tsinghua University
Conference: iclr 2024 (main track)
Keywords: Safe offline reinforcement learning;Hamilton-Jacobi reachability;diffusion model
Decision: Poster
Title: Solving Inverse Problems with Latent Diffusion Models via Hard Data Consistency
Authors: Bowen Song, Soo Min Kwon, Zecheng Zhang, Xinyu Hu, Qing Qu, Liyue Shen
Affiliations: University of Michigan; Kumo.AI; Microsoft
Conference: iclr 2024 (main track)
Keywords: Diffusion models;inverse problems
Decision: Spotlight
Title: IRAD: Implicit Representation-driven Image Resampling against Adversarial Attacks
Authors: Yue Cao, Tianlin Li, Xiaofeng Cao, Ivor Tsang, Yang Liu, Qing Guo
Affiliations: CFAR and IHPC, Agency for Science, Technology and Research (A*STAR), Singapore; Jilin University, China; School of Computer Science and Engineering, Nanyang Technological University, Singapore
Conference: iclr 2024 (main track)
Keywords: adversarial defense;resampling;implicit representation
Decision: Poster
Title: Provably Efficient UCB-type Algorithms For Learning Predictive State Representations
Authors: Ruiquan Huang, Yingbin Liang, Jing Yang
Affiliations: Penn State University, State College, PA 16801, USA; Ohio State University, Columbus, OH 43210, USA
Conference: iclr 2024 (main track)
Keywords: Reinforcement learning;Sequential decision-making problem;Predictive state representation;POMDP;UCB;online and offline
Decision: Poster
Title: BioBridge: Bridging Biomedical Foundation Models via Knowledge Graphs
Authors: Zifeng Wang, Zichen Wang, Balasubramaniam Srinivasan, Vassilis N. Ioannidis, Huzefa Rangwala, RISHITA ANUBHAI
Affiliations: University of Illinois Urbana-Champaign; Amazon AWS AI; Amazon Search
Conference: iclr 2024 (main track)
Keywords: drug discovery;foundation model;multi-modal learning;knowledge graph
Decision: Poster
Title: Task Planning for Visual Room Rearrangement under Partial Observability
Authors: DIPANJAN DAS, Karan Mirakhor, Sourav Ghosh, Brojeshwar Bhowmick
Affiliations: Visual Computing and Embodied Intelligence Lab, TCS Research, Kolkata, India
Conference: iclr 2024 (main track)
Keywords: Task Planning;Object Search;Deep-RL;Robotics
Decision: Poster
Title: OpenWebMath: An Open Dataset of High-Quality Mathematical Web Text
Authors: Keiran Paster, Marco Dos Santos, Zhangir Azerbayev, Jimmy Ba
Affiliations: University of Cambridge; University of Toronto; Vector Institute for Artificial Intelligence; Princeton University
Conference: iclr 2024 (main track)
Keywords: web-scale dataset;natural language processing;large language model;reasoning;AI for math
Decision: Poster
Title: Less is More: Fewer Interpretable Region via Submodular Subset Selection
Authors: Ruoyu Chen, Hua Zhang, Siyuan Liang, Jingzhi Li, Xiaochun Cao
Affiliations: Institute of Information Engineering, Chinese Academy of Sciences, Beijing 100093, China; School of Cyber Security, University of Chinese Academy of Sciences, Beijing 100049, China; School of Computing, National University of Singapore, 119077, Singapore; School of Cyber Science and Technology, Shenzhen Campus of Sun Yat-sen University, Shenzhen 518107, China
Conference: iclr 2024 (main track)
Keywords: Interpretable AI;Submodular subset selection;Explainable AI;Image Attribution
Decision: Oral
Title: Rethinking Branching on Exact Combinatorial Optimization Solver: The First Deep Symbolic Discovery Framework
Authors: Yufei Kuang, Jie Wang, Haoyang Liu, Fangzhou Zhu, Xijun Li, Jia Zeng, Jianye HAO, Bin Li, Feng Wu
Affiliations: CAS Key Laboratory of Technology in GIPAS, University of Science and Technology of China; Noah’s Ark Lab, Huawei Technologies
Conference: iclr 2024 (main track)
Keywords: Combinatorial Optimization;Branch and Bound;Deep Symbolic Optimization;Learn to Optimize;Machine Learning for Combinatorial Optimization
Decision: Poster
Title: Debiasing Attention Mechanism in Transformer without Demographics
Authors: Shenyu Lu, Yipei Wang, Xiaoqian Wang
Affiliations: Elmore Family School of Electrical and Computer Engineering, Purdue University, West Lafayette, IN 47906, USA
Conference: iclr 2024 (main track)
Keywords: Fairness;Transformer;Attention;Without demographics
Decision: Poster
Title: ASID: Active Exploration for System Identification in Robotic Manipulation
Authors: Marius Memmel, Andrew Wagenmaker, Chuning Zhu, Dieter Fox, Abhishek Gupta
Affiliations: Paul G. Allen School of Computer Science & Engineering, University of Washington, Seattle, WA 98195, USA
Conference: iclr 2024 (main track)
Keywords: sim2real;system identification;exploration
Decision: Oral
Title: Hybrid Distillation: Connecting Masked Autoencoders with Contrastive Learners
Authors: Bowen Shi, XIAOPENG ZHANG, Yaoming Wang, Li Jin, Wenrui Dai, Junni Zou, Hongkai Xiong, Qi Tian
Affiliations: Huawei Inc.; Shanghai Jiao Tong University
Conference: iclr 2024 (main track)
Keywords: contrastive learning;mask image moding;feature distillation
Decision: Poster
Title: Towards Foundation Models for Knowledge Graph Reasoning
Authors: Mikhail Galkin, Xinyu Yuan, Hesham Mostafa, Jian Tang, Zhaocheng Zhu
Affiliations: Mila, University of Montréal; Mila, HEC Montréal & CIFAR AI Chair; Intel AI Lab
Conference: iclr 2024 (main track)
Keywords: graph neural networks;foundation model;knowledge graph;link prediction;knowledge graph reasoning
Decision: Poster
Title: Dynamics-Informed Protein Design with Structure Conditioning
Authors: Urszula Julia Komorowska, Simon Mathis, Kieran Didi, Francisco Vargas, Pietro Lio, Mateja Jamnik
Affiliations: Department of Computer Science and Technology, University of Cambridge, Cambridge, CB30FD, UK
Conference: iclr 2024 (main track)
Keywords: Diffusion Models;Generative Modeling;Protein Design;Normal Mode Analysis
Decision: Poster