hunoutl/paperlists huggingface dataset:
Title: Light Schrödinger Bridge
Authors: Alexander Korotin, Nikita Gushchin, Evgeny Burnaev
Affiliations: 1Skolkovo Institute of Science and Technology,2Artificial Intelligence Research Institute
Conference: iclr 2024 (main track)
Keywords: Schrödinger Bridge;Optimal transport;Entropy regularized OT;Unpaired Learning
Decision: Poster
Title: Real-time Photorealistic Dynamic Scene Representation and Rendering with 4D Gaussian Splatting
Authors: Zeyu Yang, Hongye Yang, Zijie Pan, Li Zhang
Affiliations: School of Data Science, Fudan University; Fudan University
Conference: iclr 2024 (main track)
Keywords: Novel-view synthesis for dynamic scenes;4D Gaussian;point-based rendering
Decision: Poster
Title: Adaptive Self-training Framework for Fine-grained Scene Graph Generation
Authors: Kibum Kim, Kanghoon Yoon, Yeonjun In, Jinyoung Moon, Donghyun Kim, Chanyoung Park
Affiliations: KAIST; ETRI; Korea University
Conference: iclr 2024 (main track)
Keywords: Scene Graph Generation;Scene Understanding;Imbalanced Classification;Self-training;Long-tailed Problem
Decision: Poster
Title: A Statistical Analysis of Wasserstein Autoencoders for Intrinsically Low-dimensional Data
Authors: Saptarshi Chakraborty, Peter Bartlett
Affiliations: Google DeepMind & UC Berkeley; UC Berkeley
Conference: iclr 2024 (main track)
Keywords: Wasserstein Autoencoders;Statistical Analysis;Error rates;Intrinsic Dimension
Decision: Poster
Title: QA-LoRA: Quantization-Aware Low-Rank Adaptation of Large Language Models
Authors: Yuhui Xu, Lingxi Xie, Xiaotao Gu, Xin Chen, Heng Chang, Hengheng Zhang, Zhengsu Chen, XIAOPENG ZHANG, Qi Tian
Affiliations: Huawei Inc.
Conference: iclr 2024 (main track)
Keywords: Large Language Models;Quantization;LoRA;Instruct Fine-tuning
Decision: Poster
Title: Theoretical Understanding of Learning from Adversarial Perturbations
Authors: Soichiro Kumano, Hiroshi Kera, Toshihiko Yamasaki
Affiliations: The University of Tokyo; Chiba University
Conference: iclr 2024 (main track)
Keywords: Adversarial Perturbations;Adversarial Examples;Adversarial Attacks;Non-Robust Features
Decision: Poster
Title: GRANDE: Gradient-Based Decision Tree Ensembles for Tabular Data
Authors: Sascha Marton, Stefan Lüdtke, Christian Bartelt, Heiner Stuckenschmidt
Affiliations: University of Mannheim, Germany; University of Rostock, Germany
Conference: iclr 2024 (main track)
Keywords: Tabular Data; Architectures; Ensembles; Decision Trees; Gradient Descent
Decision: Poster
Title: Idempotent Generative Network
Authors: Assaf Shocher, Amil Dravid, Yossi Gandelsman, Inbar Mosseri, Michael Rubinstein, Alexei Efros
Affiliations: Google Research; UC Berkeley
Conference: iclr 2024 (main track)
Keywords: Generative model;idempotent;energy based models
Decision: Poster
Title: InstructPix2NeRF: Instructed 3D Portrait Editing from a Single Image
Authors: Jianhui Li, Shilong Liu, Zidong Liu, Yikai Wang, Kaiwen Zheng, Jinghui Xu, Jianmin Li, Jun Zhu
Affiliations: Dept. of Comp. Sci. & Tech., Institute for AI, BNRist Center, THBI Lab, Tsinghua-Bosch Joint ML Center, Tsinghua University, Beijing, 100084 China; Shengshu Technology, Beijing
Conference: iclr 2024 (main track)
Keywords: 3D-aware editing;Human instruction;Conditional latent 3D diffusion
Decision: Poster
Title: Adversarial Training Should Be Cast as a Non-Zero-Sum Game
Authors: Alex Robey, Fabian Latorre, George Pappas, Hamed Hassani, Volkan Cevher
Affiliations: LIONS, EPFL; University of Pennsylvania
Conference: iclr 2024 (main track)
Keywords: Adversarial training;two-player zero-sum;bilevel optimization
Decision: Poster
Title: COLEP: Certifiably Robust Learning-Reasoning Conformal Prediction via Probabilistic Circuits
Authors: Mintong Kang, Nezihe Merve Gürel, Linyi Li, Bo Li
Affiliations: UChicago & UIUC; UIUC; TU Delft
Conference: iclr 2024 (main track)
Keywords: conformal prediction;adversarial robustness;probabilistic circuits
Decision: Poster
Title: Consistent algorithms for multi-label classification with macro-at-$k$ metrics
Authors: Erik Schultheis, Marek Wydmuch, Wojciech Kotłowski, Rohit Babbar, Strom Borman, Krzysztof Dembczyński
Affiliations: University of Bath / Aalto University, Bath, UK / Helsinki, Finland; Poznan University of Technology, Poznan, Poland; Aalto University, Helsinki, Finland; Yahoo Research, Champaign, USA; Yahoo Research / Poznan University of Technology, New York, USA / Poznan, Poland
Conference: iclr 2024 (main track)
Keywords: multi-label classification;complex performance metrics;macro-at-k;extreme classification
Decision: Poster
Title: Quantifying the Plausibility of Context Reliance in Neural Machine Translation
Authors: Gabriele Sarti, Grzegorz Chrupała, Malvina Nissim, Arianna Bisazza
Affiliations: Dept. of Cognitive Science and Artificial Intelligence (CSAI), Tilburg University; Center for Language and Cognition (CLCG), University of Groningen
Conference: iclr 2024 (main track)
Keywords: explainable AI;interpretability;feature attribution;machine translation;document-level machine translation;natural language generation
Decision: Poster
Title: Stack Attention: Improving the Ability of Transformers to Model Hierarchical Patterns
Authors: Brian DuSell, David Chiang
Affiliations: Department of Computer Science and Engineering, University of Notre Dame; Department of Computer Science, ETH Zürich
Conference: iclr 2024 (main track)
Keywords: transformer;attention;context-free languages;pushdown automata;formal languages;language modeling;machine translation
Decision: Spotlight
Title: MogaNet: Multi-order Gated Aggregation Network
Authors: Siyuan Li, Zedong Wang, Zicheng Liu, Cheng Tan, Haitao Lin, Di Wu, Zhiyuan Chen, Jiangbin Zheng, Stan Z Li
Affiliations: AI Lab, Research Center for Industries of the Future, Westlake University, Hangzhou, China; Zhejiang University, College of Computer Science and Technology, Hangzhou, China; AI Lab, Research Center for Industries of the Future, Westlake University, Hangzhou, China; AI Lab, Research Center for Industries of the Future, Westlake University, Hangzhou, China†
Conference: iclr 2024 (main track)
Keywords: Network Architecture;Convolution Neural Network;Image Classification;Vision Transformer;Representation Learning
Decision: Poster
Title: Stabilizing Contrastive RL: Techniques for Robotic Goal Reaching from Offline Data
Authors: Chongyi Zheng, Benjamin Eysenbach, Homer Walke, Patrick Yin, Kuan Fang, Ruslan Salakhutdinov, Sergey Levine
Affiliations: Princeton University; University of Washington; Carnegie Mellon University; Cornell University; UC Berkeley
Conference: iclr 2024 (main track)
Keywords: reinforcement learning;self-supervised learning;contrastive learning;goal-conditioned RL;offline RL;robotics
Decision: Spotlight
Title: DNA-GPT: Divergent N-Gram Analysis for Training-Free Detection of GPT-Generated Text
Authors: Xianjun Yang, Wei Cheng, Yue Wu, Linda Petzold, William Wang, Haifeng Chen
Affiliations: University of California, Los Angeles; University of California, Santa Barbara; NEC Laboratories America
Conference: iclr 2024 (main track)
Keywords: Text Detection;zero-shot;AI detection;GPT
Decision: Poster
Title: Generating Images with 3D Annotations Using Diffusion Models
Authors: Wufei Ma, Qihao Liu, Jiahao Wang, Xiaoding Yuan, Angtian Wang, Yi Zhang, Zihao Xiao, Guofeng Zhang, Beijia Lu, Ruxiao Duan, Yongrui Qi, Adam Kortylewski, Yaoyao Liu, Alan Yuille
Affiliations: Johns Hopkins University; University of Freiburg, Max Planck Institute for Informatics, Saarland Informatics Campus
Conference: iclr 2024 (main track)
Keywords: Synthetic Data;Transfer Learning;Diffusion Models;3D
Decision: Spotlight
Title: Spatio-Temporal Approximation: A Training-Free SNN Conversion for Transformers
Authors: Yizhou Jiang, Kunlin Hu, Tianren Zhang, Haichuan Gao, Yuqian Liu, Ying Fang, Feng Chen
Affiliations: Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen, China; College of Computer and Cyber Security, Fujian Normal University, Fuzhou, China; Department of Automation, Tsinghua University, Beijing, China; Department of Automation, Tsinghua University, Beijing, China; LSBDPA Beijing Key Laboratory, Beijing, China
Conference: iclr 2024 (main track)
Keywords: Spiking Neural Network;Spike Calibration;Transformer
Decision: Poster
Title: Dichotomy of Early and Late Phase Implicit Biases Can Provably Induce Grokking
Authors: Kaifeng Lyu, Jikai Jin, Zhiyuan Li, Simon Du, Jason Lee, Wei Hu
Affiliations: Princeton University; University of Michigan; University of Washington; Toyota Technological Institute at Chicago; Stanford University
Conference: iclr 2024 (main track)
Keywords: grokking;implicit bias;margin;kernel;training dynamics;generalization
Decision: Poster
Title: Continual Learning on a Diet: Learning from Sparsely Labeled Streams Under Constrained Computation
Authors: Wenxuan Zhang, Youssef Mohamed, Bernard Ghanem, Philip Torr, Adel Bibi, Mohamed Elhoseiny
Affiliations: University of Oxford; King Abdullah University of Science and Technology
Conference: iclr 2024 (main track)
Keywords: Continual Learning;Semi-supervised Continual Learning
Decision: Poster
Title: Quantifying and Enhancing Multi-modal Robustness with Modality Preference
Authors: Zequn Yang, Yake Wei, Ce Liang, Di Hu
Affiliations: Gaoling School of Artificial Intelligence, Renmin University of China
Conference: iclr 2024 (main track)
Keywords: Robustness;Multi-modal learning;Modality preference
Decision: Poster
Title: Balancing Act: Constraining Disparate Impact in Sparse Models
Authors: Meraj Hashemizadeh, Juan Ramirez, Rohan Sukumaran, Golnoosh Farnadi, Simon Lacoste-Julien, Jose Gallego-Posada
Affiliations: 3McGill University; 1Mila; 1DIRO - Université de Montréal
Conference: iclr 2024 (main track)
Keywords: deep learning;sparsity;disparate impact;constrained optimization;pruning;fairness
Decision: Poster
Title: DecompOpt: Controllable and Decomposed Diffusion Models for Structure-based Molecular Optimization
Authors: Xiangxin Zhou, Xiwei Cheng, Yuwei Yang, Yu Bao, Liang Wang, Quanquan Gu
Affiliations: ByteDance Research; Halıcıoğlu Data Science Institute, University of California San Diego; ByteDance Research; School of Artificial Intelligence, University of Chinese Academy of Sciences; Center for Research on Intelligent Perception and Computing (CRIPAC), State Key Laboratory of Multimodal Artificial Intelligence Systems (MAIS), Institute of Automation, Chinese Academy of Sciences (CASIA)
Conference: iclr 2024 (main track)
Keywords: Structure-based drug design;molecule optimization;diffusion models;3D molecule generation
Decision: Poster
Title: GoLLIE: Annotation Guidelines improve Zero-Shot Information-Extraction
Authors: Oscar Sainz, Iker García-Ferrero, Rodrigo Agerri, Oier Lacalle, German Rigau, Eneko Agirre
Affiliations: University of the Basque Country (UPV/EHU); HiTZ Basque Center for Language Technology - Ixa NLP Group, University of the Basque Country (UPV/EHU)
Conference: iclr 2024 (main track)
Keywords: Information Extraction;Zero-Shot;Annotation Guidelines;Large Language Models;LLM;prompt
Decision: Poster
Title: Sparse Weight Averaging with Multiple Particles for Iterative Magnitude Pruning
Authors: Moonseok Choi, Hyungi Lee, Giung Nam, Juho Lee
Affiliations: KAIST AI; KAIST AI2AITRICS
Conference: iclr 2024 (main track)
Keywords: Unstructured pruning;Sparse neural networks;Lottery ticket hypothesis;Weight averaging;Bayesian neural networks
Decision: Poster
Title: Implicit Gaussian process representation of vector fields over arbitrary latent manifolds
Authors: Robert Peach, Matteo Vinao-Carl, Nir Grossman, Michael David, Emma-Jane Mallas, David Sharp, Paresh Malhotra, Pierre Vandergheynst, Adam Gosztolai
Affiliations: Imperial College London; EPFL; University Hospital Würzburg
Conference: iclr 2024 (main track)
Keywords: Gaussian processes;neuroscience;vector field;tangent bundle;connection Laplacian;EEG;Alzheimer's disease
Decision: Poster
Title: TEMPO: Prompt-based Generative Pre-trained Transformer for Time Series Forecasting
Authors: Defu Cao, Furong Jia, Sercan Arik, Tomas Pfister, Yixiang Zheng, Wen Ye, Yan Liu
Affiliations: Google Cloud AI Research; University of Southern California
Conference: iclr 2024 (main track)
Keywords: Forecasting; Time Series; Large Language Model
Decision: Poster
Title: Symmetric Mean-field Langevin Dynamics for Distributional Minimax Problems
Authors: Juno Kim, Kakei Yamamoto, Kazusato Oko, Zhuoran Yang, Taiji Suzuki
Affiliations: Yale University, New Haven, CT; The University of Tokyo, Tokyo, Japan; Center for Advanced Intelligence Project, RIKEN; Massachusetts Institute of Technology, Cambridge, MA
Conference: iclr 2024 (main track)
Keywords: mean-field Langevin dynamics;minimax optimization;zero-sum games;Markov games
Decision: Spotlight
Title: Towards Poisoning Fair Representations
Authors: Tianci Liu, Haoyu Wang, Feijie Wu, Hengtong Zhang, Pan Li, Lu Su, Jing Gao
Affiliations: Purdue University; Georgia Institute of Technology; Tencent AI Lab
Conference: iclr 2024 (main track)
Keywords: data poisoning attack;fair representation learning;fairness
Decision: Poster
Title: Conditional Variational Diffusion Models
Authors: Gabriel della Maggiora, Luis A. Croquevielle, Nikita Deshpande, Harry Horsley, Thomas Heinis, Artur Yakimovich
Affiliations: Department of Computing, Imperial College London, London, United Kingdom; Center for Advanced Systems Understanding (CASUS), G¨orlitz, Germany; Helmholtz-Zentrum Dresden-Rossendorf e. V . (HZDR), Dresden, Germany; Institute of Computer Science, University of Wrocław, Wrocław, Poland; Bladder Infection and Immunity Group (BIIG), UCL Centre for Kidney and Bladder Health, Division of Medicine, University College London, Royal Free Hospital Campus, London, United Kingdom; Center for Advanced Systems Understanding (CASUS), G¨orlitz, Germany; Helmholtz-Zentrum Dresden-Rossendorf e. V . (HZDR), Dresden, Germany
Conference: iclr 2024 (main track)
Keywords: Denoising Diffusion Probabilistic Models;Inverse Problems;Generative Models;Super Resolution;Phase Quantification;Variational Methods
Decision: Poster
Title: Tuning LayerNorm in Attention: Towards Efficient Multi-Modal LLM Finetuning
Authors: Bingchen Zhao, Haoqin Tu, Chen Wei, Jieru Mei, Cihang Xie
Affiliations: University of Chinese Academy of Sciences; Johns Hopkins University; University of Edinburgh; UC Santa Cruz
Conference: iclr 2024 (main track)
Keywords: multi-modality; large language models; generation; model efficiency;
Decision: Spotlight
Title: Sample Efficient Myopic Exploration Through Multitask Reinforcement Learning with Diverse Tasks
Authors: Ziping Xu, Zifan Xu, Runxuan Jiang, Peter Stone, Ambuj Tewari
Affiliations: Harvard University; University of Michigan; The University of Texas at Austin
Conference: iclr 2024 (main track)
Keywords: Reinforcement Learning; Multitask Learning; Exploration
Decision: Poster
Title: Composed Image Retrieval with Text Feedback via Multi-grained Uncertainty Regularization
Authors: Yiyang Chen, Zhedong Zheng, Wei Ji, Leigang Qu, Tat-Seng Chua
Affiliations: Sea-NExT Joint Lab, National University of Singapore; Tsinghua University; Faculty of Science and Technology, and Institute of Collaborative Innovation, University of Macau; Sea-NExT Joint Lab, National University of Singapore
Conference: iclr 2024 (main track)
Keywords: Multi-modal learning;
Decision: Poster
Title: Improving Intrinsic Exploration by Creating Stationary Objectives
Authors: Roger Creus Castanyer, Joshua Romoff, Glen Berseth
Affiliations: Mila Quebec AI Institute, Universite de Montreal; Ubisoft LaForge
Conference: iclr 2024 (main track)
Keywords: Reinforcement Learning;Exploration;Intrinsic Rewards;Stationarity
Decision: Poster
Title: BayesDiff: Estimating Pixel-wise Uncertainty in Diffusion via Bayesian Inference
Authors: Siqi Kou, Lei Gan, Dequan Wang, Chongxuan Li, Zhijie Deng
Affiliations: School of Computer Science, Fudan University; Gaoling School of Artificial Intelligence, Renmin University of China; Qing Yuan Research Institute, SEIEE, Shanghai Jiao Tong University
Conference: iclr 2024 (main track)
Keywords: diffusion model;Bayesian uncertainty
Decision: Poster
Title: Is ImageNet worth 1 video? Learning strong image encoders from 1 long unlabelled video
Authors: Shashank Venkataramanan, Mamshad Nayeem Rizve, Joao Carreira, Yuki Asano, Yannis Avrithis
Affiliations: University of Amsterdam; Inria, Univ Rennes, CNRS, IRIS; Institute of Advanced Research on Artificial Intelligence (IARAI); University of Central Florida; Google DeepMind
Conference: iclr 2024 (main track)
Keywords: self-supervised image-pretraining;egocentric video;Walking Tour dataset;multi-object tracking
Decision: Oral
Title: EmerDiff: Emerging Pixel-level Semantic Knowledge in Diffusion Models
Authors: Koichi Namekata, Amirmojtaba Sabour, Sanja Fidler, Seung Wook Kim
Affiliations: University of Toronto, Vector Institute, NVIDIA
Conference: iclr 2024 (main track)
Keywords: Latent Diffusion Models;Diffusion Models;Generative Models;Unsupervised Semantic Segmentation
Decision: Poster
Title: Posterior Sampling Based on Gradient Flows of the MMD with Negative Distance Kernel
Authors: Paul Hagemann, Johannes Hertrich, Fabian Altekrüger, Robert Beinert, Jannis Chemseddine, Gabriele Steidl
Affiliations: Humboldt-Universität zu Berlin; Technische Universität Berlin; University College London
Conference: iclr 2024 (main track)
Keywords: Bayesian inverse Problems;MMD;Gradient Flows;Deep Learning
Decision: Poster
Title: Trajeglish: Traffic Modeling as Next-Token Prediction
Authors: Jonah Philion, Xue Bin Peng, Sanja Fidler
Affiliations: NVIDIA, Simon Fraser University; NVIDIA, University of Toronto, Vector Institute
Conference: iclr 2024 (main track)
Keywords: self-driving;traffic modeling;autonomous vehicles;simulation;motion prediction;transformer
Decision: Poster
Title: Neuro-Inspired Information-Theoretic Hierarchical Perception for Multimodal Learning
Authors: Xiongye Xiao, Gengshuo Liu, Gaurav Gupta, Defu Cao, Shixuan Li, Yaxing Li, Tianqing Fang, Mingxi Cheng, Paul Bogdan
Affiliations: Hong Kong University of Science and Technology, Hong Kong, China; University of Southern California, Los Angeles, CA 90089, USA
Conference: iclr 2024 (main track)
Keywords: multimodal learning;information bottleneck;sentiment analysis
Decision: Poster
Title: Leftover Lunch: Advantage-based Offline Reinforcement Learning for Language Models
Authors: Ashutosh Baheti, Ximing Lu, Faeze Brahman, Ronan Le Bras, Maarten Sap, Mark Riedl
Affiliations: Georgia Institute of Technology; University of Washington; Carnegie Mellon University; Allen Institute for Artificial Intelligence
Conference: iclr 2024 (main track)
Keywords: Reinforcement Learning;Natural Language Generation;Offline Policy Gradients
Decision: Poster
Title: Det-CGD: Compressed Gradient Descent with Matrix Stepsizes for Non-Convex Optimization
Authors: Hanmin Li, Avetik Karagulyan, Peter Richtarik
Affiliations: King Abdullah University of Science and Technology
Conference: iclr 2024 (main track)
Keywords: Optimization;First-order optimization;Non-convex optimization;Distributed optimization
Decision: Poster
Title: Connecting Large Language Models with Evolutionary Algorithms Yields Powerful Prompt Optimizers
Authors: Qingyan Guo, Rui Wang, Junliang Guo, Bei Li, Kaitao Song, Xu Tan, Guoqing Liu, Jiang Bian, Yujiu Yang
Affiliations: Northeastern University; Microsoft Research; Tsinghua University
Conference: iclr 2024 (main track)
Keywords: large language model;evolutionary algorithm;prompt engineering;natural language processing
Decision: Poster
Title: A Lightweight Method for Tackling Unknown Participation Statistics in Federated Averaging
Authors: Shiqiang Wang, Mingyue Ji
Affiliations: Department of ECE, University of Utah, Salt Lake City, UT 84112; IBM T. J. Watson Research Center, Yorktown Heights, NY 10598
Conference: iclr 2024 (main track)
Keywords: federated learning;partial client participation;adaptation;aggregation weights
Decision: Spotlight
Title: Accurate and Scalable Estimation of Epistemic Uncertainty for Graph Neural Networks
Authors: Puja Trivedi, Mark Heimann, Rushil Anirudh, Danai Koutra, Jayaraman J. Thiagarajan
Affiliations: Lawrence Livermore National Laboratory; University of Michigan, CSE Department
Conference: iclr 2024 (main track)
Keywords: Graph Neural Networks;Uncertainity Quantification;Calibration
Decision: Poster
Title: Learning semilinear neural operators: A unified recursive framework for prediction and data assimilation.
Authors: Ashutosh Singh, Ricardo Borsoi, Deniz Erdogmus, Tales Imbiriba
Affiliations: Department of Electrical and Computer Engineering, Northeastern University, Boston MA, 02115, USA; Institute for Experiential AI, Northeastern University, Boston MA, 02115, USA; CNRS, CRAN, Université de Lorraine, Vandoeuvre-lès-Nancy, F-54000 Nancy, France
Conference: iclr 2024 (main track)
Keywords: Neural operator;PDEs;semi-linear evolution;sequential learning;filtering;data assimilation
Decision: Poster
Title: PanoDiffusion: 360-degree Panorama Outpainting via Diffusion
Authors: Tianhao Wu, Chuanxia Zheng, Tat-Jen Cham
Affiliations: Nanyang Technological University; University of Oxford; S-Lab, Nanyang Technological University
Conference: iclr 2024 (main track)
Keywords: Panorama Outpainting;Latent Diffusion;Multi-modal Generation
Decision: Poster
Title: CO2: Efficient Distributed Training with Full Communication-Computation Overlap
Authors: Weigao Sun, Qin Zhen, Weixuan Sun, Shidi Li, Dong Li, Xuyang Shen, Yu Qiao, Yiran Zhong
Conference: iclr 2024 (main track)
Keywords: Distributed Training;Data Parallelism;Local Updating;Asynchronous Communication
Decision: Spotlight
Title: Making Retrieval-Augmented Language Models Robust to Irrelevant Context
Authors: Ori Yoran, Tomer Wolfson, Ori Ram, Jonathan Berant
Affiliations: Tel Aviv University, Allen Institute for AI; Tel Aviv University
Conference: iclr 2024 (main track)
Keywords: Retrieval Augmented Language Models;Large Language Models;Robustness;Question Answering
Decision: Poster
Title: Alleviating Exposure Bias in Diffusion Models through Sampling with Shifted Time Steps
Authors: Mingxiao Li, Tingyu Qu, Ruicong Yao, Wei Sun, Marie-Francine Moens
Affiliations: Department of Computer Science, KU Leuven; Department of Mathematics, KU Leuven
Conference: iclr 2024 (main track)
Keywords: diffusion models;sampling methods;exposure bias
Decision: Poster
Title: DMBP: Diffusion model-based predictor for robust offline reinforcement learning against state observation perturbations
Authors: Zhihe Yang, Yunjian Xu
Affiliations: The Chinese University of Hong Kong, Hong Kong SAR, China; The Chinese University of Hong Kong, Shenzhen Research Institute (SZRI), Guangdong, China
Conference: iclr 2024 (main track)
Keywords: Robust Reinforcement Learning;Offline Reinforcement Learning;Diffusion Models
Decision: Poster
Title: Functional Bayesian Tucker Decomposition for Continuous-indexed Tensor Data
Authors: Shikai Fang, Xin Yu, Zheng Wang, Shibo Li, Mike Kirby, Shandian Zhe
Affiliations: University of Utah, Salt Lake City, UT 84112, USA
Conference: iclr 2024 (main track)
Keywords: Bayesian model;Tensor decomposition;Gaussian Processes
Decision: Poster
Title: LipVoicer: Generating Speech from Silent Videos Guided by Lip Reading
Authors: Yochai Yemini, Aviv Shamsian, Lior Bracha, Sharon Gannot, Ethan Fetaya
Affiliations: Faculty of Electrical Engineering, Bar-Ilan University, Israel
Conference: iclr 2024 (main track)
Keywords: lip-to-speech;lip-reading;diffusion models
Decision: Poster