hunoutl/paperlists huggingface dataset:
Title: Foundation Model-oriented Robustness: Robust Image Model Evaluation with Pretrained Models
Authors: Peiyan Zhang, Haoyang Liu, Chaozhuo Li, Xing Xie, Sunghun Kim, Haohan Wang
Affiliations: Microsoft Research Asia; Hong Kong University of Science and Technology; University of Illinois at Urbana-Champaign
Conference: iclr 2024 (main track)
Keywords: robustness;distribution shift;reliable machine learning
Decision: Poster
Title: MuSR: Testing the Limits of Chain-of-thought with Multistep Soft Reasoning
Authors: Zayne Sprague, Xi Ye, Kaj Bostrom, Swarat Chaudhuri, Greg Durrett
Affiliations: Department of Computer Science, The University of Texas in Austin
Conference: iclr 2024 (main track)
Keywords: Large Language Models;Chain-of-Thought;Textual Reasoning
Decision: Spotlight
Title: Look, Remember and Reason: Grounded Reasoning in Videos with Language Models
Authors: Apratim Bhattacharyya, Sunny Panchal, Reza Pourreza, Mingu Lee, Pulkit Madan, Roland Memisevic
Affiliations: Qualcomm AI Research∗
Conference: iclr 2024 (main track)
Keywords: Grounding;Reasoning;Language Models
Decision: Poster
Title: Knowledge Fusion of Large Language Models
Authors: Fanqi Wan, Xinting Huang, Deng Cai, Xiaojun Quan, Wei BI, Shuming Shi
Affiliations: School of Computer Science and Engineering, Sun Yat-sen University, China; Tencent AI Lab
Conference: iclr 2024 (main track)
Keywords: Large Language Models;Model Fusion
Decision: Poster
Title: Stochastic Controlled Averaging for Federated Learning with Communication Compression
Authors: Xinmeng Huang, Ping Li, Xiaoyun Li
Affiliations: Not provided in the text; LinkedIn — Bellevue, 98004 WA, USA; University of Pennsylvania
Conference: iclr 2024 (main track)
Keywords: federated learning;communication compression;data heterogeneity;controlled averaging
Decision: Spotlight
Title: LLM Augmented LLMs: Expanding Capabilities through Composition
Authors: Rachit Bansal, Bidisha Samanta, Siddharth Dalmia, Nitish Gupta, Sriram Ganapathy, Abhishek Bapna, Prateek Jain, Partha Talukdar
Affiliations: Google Research India; Google DeepMind
Conference: iclr 2024 (main track)
Keywords: Large Language Models;Model Composition;Knowledge Augmentation
Decision: Poster
Title: Self-Supervised High Dynamic Range Imaging with Multi-Exposure Images in Dynamic Scenes
Authors: Zhilu Zhang, Haoyu Wang, Shuai Liu, Xiaotao Wang, LEI LEI, Wangmeng Zuo
Affiliations: ; Harbin Institute of Technology, Harbin, China
Conference: iclr 2024 (main track)
Keywords: High Dynamic Range Imaging; Self-Supervised Learning; Multi-Exposure Images
Decision: Poster
Title: Space Group Constrained Crystal Generation
Authors: Rui Jiao, Wenbing Huang, Yu Liu, Deli Zhao, Yang Liu
Affiliations: Alibaba Group; Dept. of Comp. Sci. & Tech., Institute for AI, Tsinghua University and Institute for AIR, Tsinghua University; Gaoling School of Artificial Intelligence, Renmin University of China and Beijing Key Laboratory of Big Data Management and Analysis Methods, Beijing, China
Conference: iclr 2024 (main track)
Keywords: material generation;spacegroup;diffusion generative models
Decision: Poster
Title: How Does Unlabeled Data Provably Help Out-of-Distribution Detection?
Authors: Xuefeng Du, Zhen Fang, Ilias Diakonikolas, Yixuan Li
Affiliations: Department of Computer Sciences, University of Wisconsin-Madison; Australian Artificial Intelligence Institute, University of Technology Sydney
Conference: iclr 2024 (main track)
Keywords: out-of-distribution detection;learnability
Decision: Poster
Title: COPlanner: Plan to Roll Out Conservatively but to Explore Optimistically for Model-Based RL
Authors: Xiyao Wang, Ruijie Zheng, Yanchao Sun, Ruonan Jia, Wichayaporn Wongkamjan, Huazhe Xu, Furong Huang
Affiliations: University of Maryland, College Park; Tsinghua University/Shanghai Qi Zhi Institute; JPMorgan AI Research; Tsinghua University
Conference: iclr 2024 (main track)
Keywords: Model-based RL; Model-predictive control; Model rollouts; Model error
Decision: Poster
Title: MINT: Evaluating LLMs in Multi-turn Interaction with Tools and Language Feedback
Authors: Xingyao Wang, Zihan Wang, Jiateng Liu, Yangyi Chen, Lifan Yuan, Hao Peng, Heng Ji
Affiliations: University of Illinois Urbana-Champaign, Renmin University of China; University of Illinois Urbana-Champaign
Conference: iclr 2024 (main track)
Keywords: large language model;multi-turn interaction;learning from feedback;reinforcement learning from human feedback;instruction tuning
Decision: Poster
Title: Deep Reinforcement Learning Guided Improvement Heuristic for Job Shop Scheduling
Authors: Cong Zhang, Zhiguang Cao, Wen Song, Yaoxin Wu, Jie Zhang
Affiliations: Department of Industrial Engineering & Innovation Sciences, Eindhoven University of Technology; Singapore Management University, Singapore; Institute of Marine Science and Technology, Shandong University, China; Nanyang Technological University, Singapore
Conference: iclr 2024 (main track)
Keywords: Deep Reinforcement Learning;Graph Neural Network;Job Shop Scheduling;Combinatorial Optimization
Decision: Poster
Title: What Makes a Good Prune? Maximal Unstructured Pruning for Maximal Cosine Similarity
Authors: Gabryel Mason-Williams, Fredrik Dahlqvist
Affiliations: Department of Computer Science, Queen Mary University, London, UK
Conference: iclr 2024 (main track)
Keywords: Pruning;Deep Learning;Neural Networks;Interpretability;Loss landscapes;Optimization;Kurtosis
Decision: Poster
Title: Statistical Perspective of Top-K Sparse Softmax Gating Mixture of Experts
Authors: Huy Nguyen, Pedram Akbarian Saravi, Fanqi Yan, Nhat Ho
Affiliations: Department of Electrical and Computer Engineering, The University of Texas at Austin, Austin, TX 78712; Department of Statistics and Data Sciences, The University of Texas at Austin, Austin, TX 78712; Department of Computer Science, The University of Texas at Austin, Austin, TX 78712
Conference: iclr 2024 (main track)
Keywords: Mixture of Experts;Maximum Likelihood Estimation;Voronoi Loss Function
Decision: Poster
Title: Language Modeling Is Compression
Authors: Gregoire Deletang, Anian Ruoss, Paul-Ambroise Duquenne, Elliot Catt, Tim Genewein, Christopher Mattern, Jordi Grau-Moya, Li Kevin Wenliang, Matthew Aitchison, Laurent Orseau, Marcus Hutter, Joel Veness
Affiliations: Google DeepMind; Meta AI & Inria
Conference: iclr 2024 (main track)
Keywords: lossless compression;arithmetic coding;language models;scaling laws;in-context learning
Decision: Poster
Title: C-TPT: Calibrated Test-Time Prompt Tuning for Vision-Language Models via Text Feature Dispersion
Authors: Hee Suk Yoon, Eunseop Yoon, Joshua Tian Jin Tee, Mark Hasegawa-Johnson, Yingzhen Li, Chang Yoo
Affiliations: University of Illinois at Urbana-Champaign (UIUC); Korea Advanced Institute of Science and Technology (KAIST); Imperial College London
Conference: iclr 2024 (main track)
Keywords: Calibration;Test-time adaptation;CLIP;Prompt tuning
Decision: Poster
Title: TAB: Temporal Accumulated Batch Normalization in Spiking Neural Networks
Authors: Haiyan Jiang, Vincent Zoonekynd, Giulia De Masi, Huan Xiong, Bin Gu
Affiliations: Technology Innovation Institute, UAE; Abu Dhabi Investment Authority, UAE; Harbin Institute of Technology, China; Mohamed bin Zayed University of Artificial Intelligence, UAE
Conference: iclr 2024 (main track)
Keywords: Temporal Batch Normalization;Spiking Neural Networks
Decision: Poster
Title: Diagnosing Transformers: Illuminating Feature Spaces for Clinical Decision-Making
Authors: Aliyah Hsu, Yeshwanth Cherapanamjeri, Briton Park, Tristan Naumann, Anobel Odisho, Bin Yu
Affiliations: Department of Urology, Epidemiology and Biostatistics, UC San Francisco; Department of Statistics, UC Berkeley; Department of Statistics, EECS, Center for Computational Biology, UC Berkeley; Department of EECS, UC Berkeley; CSAIL, MIT; Microsoft Research
Conference: iclr 2024 (main track)
Keywords: fine-tuning;transformer-based language models;feature analysis;interpretation;clinical classification
Decision: Poster
Title: Deep Generative Clustering with Multimodal Diffusion Variational Autoencoders
Authors: Emanuele Palumbo, Laura Manduchi, Sonia Laguna, Daphné Chopard, Julia E Vogt
Affiliations: Department of Computer Science, ETH Zurich; Department of Intensive Care and Neonatology and Children’s Research Center, University Children’s Hospital Zurich, University of Zurich; ETH AI Center, Department of Computer Science, ETH Zurich
Conference: iclr 2024 (main track)
Keywords: Generative Clustering;Multimodal VAEs;Variational Autoencoder;Multimodal Learning;Generative Models
Decision: Poster
Title: BECLR: Batch Enhanced Contrastive Few-Shot Learning
Authors: Stylianos Poulakakis-Daktylidis, Hadi Jamali-Rad
Affiliations: Delft University of Technology (TU Delft), The Netherlands and Shell Global Solutions International B.V., Amsterdam, The Netherlands; Delft University of Technology (TU Delft), The Netherlands
Conference: iclr 2024 (main track)
Keywords: few-shot classification;unsupervised few-shot learning;deep representation learning
Decision: Spotlight
Title: FasterViT: Fast Vision Transformers with Hierarchical Attention
Authors: Ali Hatamizadeh, Greg Heinrich, Hongxu Yin, Andrew Tao, Jose M. Alvarez, Jan Kautz, Pavlo Molchanov
Affiliations: NVIDIA
Conference: iclr 2024 (main track)
Keywords: Vision Transformers;Classification;Detection;Instance Segmentation;Semantic Segmentation
Decision: Poster
Title: Lifting Architectural Constraints of Injective Flows
Authors: Peter Sorrenson, Felix Draxler, Armand Rousselot, Sander Hummerich, Lea Zimmermann, Ullrich Koethe
Affiliations: Computer Vision and Learning Lab, Heidelberg University
Conference: iclr 2024 (main track)
Keywords: normalizing flows;injective flows;manifold learning;maximum likelihood;generative model;auto encoder
Decision: Poster
Title: Selective Visual Representations Improve Convergence and Generalization for Embodied AI
Authors: Ainaz Eftekhar, Kuo-Hao Zeng, Jiafei Duan, Ali Farhadi, Aniruddha Kembhavi, Ranjay Krishna
Affiliations: University of Washington, Allen Institute for Artificial Intelligence
Conference: iclr 2024 (main track)
Keywords: Embodied-AI;Task-conditioned Representations;Visual Navigation;Reinforcement Learning
Decision: Spotlight
Title: Bias Runs Deep: Implicit Reasoning Biases in Persona-Assigned LLMs
Authors: Shashank Gupta, Vaishnavi Shrivastava, Ameet Deshpande, Ashwin Kalyan, Peter Clark, Ashish Sabharwal, Tushar Khot
Affiliations: Stanford University; Princeton University; Allen Institute for AI
Conference: iclr 2024 (main track)
Keywords: Bias;Fairness;LLM;Reasoning;Persona;Safety
Decision: Poster
Title: Test-Time Adaptation with CLIP Reward for Zero-Shot Generalization in Vision-Language Models
Authors: Shuai Zhao, Xiaohan Wang, Linchao Zhu, Yi Yang
Affiliations: ReLER Lab, CCAI, Zhejiang University; ReLER Lab, AAII, University of Technology Sydney; §Baidu Inc.
Conference: iclr 2024 (main track)
Keywords: Vision-Language Models;Zero-Shot Generalization;Test-Time Adaptation;CLIP reward
Decision: Poster
Title: Reverse Diffusion Monte Carlo
Authors: Xunpeng Huang, Hanze Dong, Yifan HAO, Yian Ma, Tong Zhang
Affiliations: University of Illinois Urbana-Champaign; The Hong Kong University of Science and Technology; University of California, San Diego
Conference: iclr 2024 (main track)
Keywords: posterior Sampling;multi-modal sampling;diffusion process
Decision: Poster
Title: SE(3)-Stochastic Flow Matching for Protein Backbone Generation
Authors: Joey Bose, Tara Akhound-Sadegh, Kilian FATRAS, Guillaume Huguet, Jarrid Rector-Brooks, Chenghao Liu, Andrei Nica, Maksym Korablyov, Michael Bronstein, Alexander Tong
Affiliations: McGill University, Mila, Dreamfold; Université de Montréal, Mila, Dreamfold; Dreamfold; University of Oxford, Dreamfold
Conference: iclr 2024 (main track)
Keywords: Proteins; Equivariance; Riemannian; Flow Matching; Generative models
Decision: Spotlight
Title: ASMR: Activation-Sharing Multi-Resolution Coordinate Networks for Efficient Inference
Authors: Jason Chun Lok Li, Steven Luo, Le Xu, Ngai Wong
Affiliations: Department of Electrical and Electronic Engineering, University of Hong Kong; Department of Computer Science, University of Toronto
Conference: iclr 2024 (main track)
Keywords: Implicit Neural Representation;Coordinate Network;Multi-resolution;Efficient Inference
Decision: Poster
Title: What's in a Prior? Learned Proximal Networks for Inverse Problems
Authors: Zhenghan Fang, Sam Buchanan, Jeremias Sulam
Affiliations: Toyota Technological Institute at Chicago; Mathematical Institute for Data Science, Johns Hopkins University
Conference: iclr 2024 (main track)
Keywords: Inverse problems;Proximal operators;Plug-and-play;Explicit regularizer;Convergent PnP;Input convex neural networks
Decision: Poster
Title: Leveraging Unpaired Data for Vision-Language Generative Models via Cycle Consistency
Authors: Tianhong Li, Sangnie Bhardwaj, Yonglong Tian, Han Zhang, Jarred Barber, Dina Katabi, Guillaume Lajoie, Huiwen Chang, Dilip Krishnan
Affiliations: OpenAI; Google Research; MIT CSAIL; Google DeepMind; Mila
Conference: iclr 2024 (main track)
Keywords: vision-language generative model;cycle consistency
Decision: Spotlight
Title: Maximum Entropy Model Correction in Reinforcement Learning
Authors: Amin Rakhsha, Mete Kemertas, Mohammad Ghavamzadeh, Amir-massoud Farahmand
Affiliations: Department of Computer Science, University of Toronto; Vector Institute; Amazon
Conference: iclr 2024 (main track)
Keywords: reinforcement learning;model-based reinforcement learning;maximum entropy;planning
Decision: Poster
Title: Dynamic Sparse Training with Structured Sparsity
Authors: Mike Lasby, Anna Golubeva, Utku Evci, Mihai Nica, Yani Ioannou
Affiliations: University of Calgary; University of Guelph, Vector Institute for AI; Google DeepMind; Massachusetts Institute of Technology, IAIFI
Conference: iclr 2024 (main track)
Keywords: Machine Learning;dynamic sparse training;structured sparsity;N:M sparsity;efficient deep learning;RigL;SRigL;constant fan-in;dynamic neuron ablation;neuron ablation;structured and fine-grained sparsity;online inference;accelerating inference
Decision: Poster
Title: Neuron-Enhanced AutoEncoder Matrix Completion and Collaborative Filtering: Theory and Practice
Authors: Jicong Fan, Rui Chen, Zhao Zhang, Chris Ding
Affiliations: School of Computer Science & Information Engineering, Hefei University of Technology, China; School of Data Science, The Chinese University of Hong Kong, Shenzhen, China; Shenzhen Research Institute of Big Data, Shenzhen, China; School of Data Science, The Chinese University of Hong Kong, Shenzhen, China
Conference: iclr 2024 (main track)
Keywords: autoencoder;matrix completion;collaborative filtering
Decision: Poster
Title: SF(DA)$^2$: Source-free Domain Adaptation Through the Lens of Data Augmentation
Authors: Uiwon Hwang, Jonghyun Lee, Juhyeon Shin, Sungroh Yoon
Affiliations: Division of Digital Healthcare, Yonsei University; Department of Electrical and Computer Engineering, Seoul National University and Interdisciplinary Program in Artificial Intelligence, Seoul National University; Interdisciplinary Program in Artificial Intelligence, Seoul National University; Department of Electrical and Computer Engineering, Seoul National University
Conference: iclr 2024 (main track)
Keywords: Source-free domain adaptation;Data augmentation
Decision: Poster
Title: Multi-resolution HuBERT: Multi-resolution Speech Self-Supervised Learning with Masked Unit Prediction
Authors: Jiatong Shi, Hirofumi Inaguma, Xutai Ma, Ilia Kulikov, Anna Sun
Affiliations: Meta AI; Language Technologies Institute, Carnegie Mellon University
Conference: iclr 2024 (main track)
Keywords: Speech Representation Learning;Self-supervised Learning;Multi-resolution
Decision: Spotlight
Title: Improving equilibrium propagation without weight symmetry through Jacobian homeostasis
Authors: Axel Laborieux, Friedemann Zenke
Affiliations: Faculty of Science, University of Basel, Switzerland; Friedrich Miescher Institute for Biomedical Research, Basel, Switzerland
Conference: iclr 2024 (main track)
Keywords: Equilibrium propagation;local learning;weight transport;jacobian regularization
Decision: Poster
Title: Simple Hierarchical Planning with Diffusion
Authors: Chang Chen, Fei Deng, Kenji Kawaguchi, Caglar Gulcehre, Sungjin Ahn
Affiliations: KAIST; National University of Singapore; EPFL (This work was partly done while C.G. was at Google DeepMind); Rutgers University
Conference: iclr 2024 (main track)
Keywords: Hierarchical Offline RL;Hierarchical planning;Hierarchical Reinforcement Learning;Diffusion-Based Planning
Decision: Poster
Title: Accelerated Sampling with Stacked Restricted Boltzmann Machines
Authors: Clément Roussel, Jorge Fernandez-de-Cossio-Diaz, Simona Cocco, Remi Monasson
Affiliations: Laboratory of Physics of the Ecole Normale Supérieure. CNRS UMR 8023 & PSL Research, Sorbonne Université. 24 rue Lhomond, 75005 Paris, France.
Conference: iclr 2024 (main track)
Keywords: sampling;Restricted Boltzmann Machines;statistical physics
Decision: Poster
Title: Large Language Models as Automated Aligners for benchmarking Vision-Language Models
Authors: Yuanfeng Ji, Chongjian GE, Weikai Kong, Enze Xie, Zhengying Liu, Zhenguo Li, Ping Luo
Affiliations: The University of Hong Kong; Huawei Noah’s Ark Lab
Conference: iclr 2024 (main track)
Keywords: LLMs;VLMs;Benchmark
Decision: Poster
Title: Towards Unified Multi-Modal Personalization: Large Vision-Language Models for Generative Recommendation and Beyond
Authors: Tianxin Wei, Bowen Jin, Ruirui Li, Hansi Zeng, Zhengyang Wang, Jianhui Sun, Qingyu Yin, Hanqing Lu, Suhang Wang, Jingrui He, Xianfeng Tang
Affiliations: University of Illinois Urbana-Champaign; University of Virginia; University of Massachusetts Amherst; Amazon; The Pennsylvania State University
Conference: iclr 2024 (main track)
Keywords: multimodal personalization;user modeling;generative modeling;instruction tuning;large vision-language model
Decision: Poster
Title: FedDA: Faster Adaptive Gradient Methods for Federated Constrained Optimization
Authors: Junyi Li, Feihu Huang, Heng Huang
Affiliations: Electrical and Computer Engineering, University of Pittsburgh, Pittsburgh, PA 15261; Department of Computer Science, University of Maryland College Park, College Park, MD 20742
Conference: iclr 2024 (main track)
Keywords: Federated Learning;Adaptive Gradient Methods
Decision: Poster
Title: Local Composite Saddle Point Optimization
Authors: Site Bai, Brian Bullins
Affiliations: Department of Computer Science, Purdue University
Conference: iclr 2024 (main track)
Keywords: Saddle Point Optimization;Distributed Optimization;Federated Optimization;Composite Optimization;Dual Extrapolation;Mirror Prox;Convex Optimization;Bregman Divergence
Decision: Poster
Title: DynaVol: Unsupervised Learning for Dynamic Scenes through Object-Centric Voxelization
Authors: Yanpeng Zhao, Siyu Gao, Yunbo Wang, Xiaokang Yang
Affiliations: MoE Key Lab of Artificial Intelligence, AI Institute, Shanghai Jiao Tong University
Conference: iclr 2024 (main track)
Keywords: Unsupervised Learning;Object-Centric Representation Learning;Dynamic Scene Decomposition;Inverse Rendering
Decision: Poster
Title: Hiding in Plain Sight: Disguising Data Stealing Attacks in Federated Learning
Authors: Kostadin Garov, Dimitar I. Dimitrov, Nikola Jovanović, Martin Vechev
Affiliations: INSAIT, Sofia University 'St. Kliment Ohridski', ETH Zurich; ETH Zurich; INSAIT, Sofia University 'St. Kliment Ohridski'
Conference: iclr 2024 (main track)
Keywords: Privacy;Federated Learning;Gradient Leakage
Decision: Poster
Title: Text-to-3D with Classifier Score Distillation
Authors: Xin Yu, Yuan-Chen Guo, Yangguang Li, Ding Liang, Song-Hai Zhang, XIAOJUAN QI
Affiliations: The University of Hong Kong; V AST; Tsinghua University
Conference: iclr 2024 (main track)
Keywords: 3D modeling;generative models
Decision: Poster
Title: On Accelerating Diffusion-Based Sampling Processes via Improved Integration Approximation
Authors: Guoqiang Zhang, Kenta Niwa, W. Bastiaan Kleijn
Affiliations: Communication Science Labs, NTT, Japan; Dept. of Computer Science, University of Exeter, United Kingdom; School of ECS, Victoria Univ. of Wellington, New Zealand
Conference: iclr 2024 (main track)
Keywords: diffusion;EDM;DDIM;DPM-Solver;optimal stepsize
Decision: Poster
Title: Towards image compression with perfect realism at ultra-low bitrates
Authors: Marlene Careil, Matthew J Muckley, Jakob Verbeek, Stéphane Lathuilière
Affiliations: 2LTCI, T ´el´ecom Paris, IP Paris; 1Meta AI; 1Meta AI, 2LTCI, T ´el´ecom Paris, IP Paris
Conference: iclr 2024 (main track)
Keywords: image compression;diffusion models;generative image models
Decision: Poster
Title: Continuous Field Reconstruction from Sparse Observations with Implicit Neural Networks
Authors: Xihaier Luo, Wei Xu, Balasubramanya T. Nadiga, Yihui Ren, Shinjae Yoo
Affiliations: Brookhaven National Laboratory; Los Alamos National Laboratory
Conference: iclr 2024 (main track)
Keywords: implicit neural representations;field reconstruction;sparse observation
Decision: Poster
Title: JointNet: Extending Text-to-Image Diffusion for Dense Distribution Modeling
Authors: Jingyang Zhang, Shiwei Li, Yuanxun Lu, Tian Fang, David McKinnon, Yanghai Tsin, Long Quan, Yao Yao
Affiliations: The Hong Kong University of Science and Technology; Apple; Nanjing University
Conference: iclr 2024 (main track)
Keywords: Generative AI;Computer Vision;Machine Learning
Decision: Poster
Title: Estimating Shape Distances on Neural Representations with Limited Samples
Authors: Dean Pospisil, Brett Larsen, Sarah Harvey, Alex Williams
Affiliations: New York University, Center for Neural Science, New York, NY, 10003; Flatiron Institute, Center for Computational Neuroscience, New York, NY, 10010; New York University, Center for Neural Science, New York, NY, 10003; Flatiron Institute, Center for Computational Mathematics, New York, NY, 10010; Princeton University, Princeton, NJ, 08544
Conference: iclr 2024 (main track)
Keywords: representational geometry;shape metrics;dissimilarity metrics
Decision: Poster
Title: Enhancing Contrastive Learning for Ordinal Regression via Ordinal Content Preserved Data Augmentation
Authors: Jiyang Zheng, Yu Yao, Bo Han, Dadong Wang, Tongliang Liu
Affiliations: Hong Kong Baptist University; CSIRO, Data61; Sydney AI Center, The University of Sydney; Mohamed bin Zayed University of Artificial Intelligence
Conference: iclr 2024 (main track)
Keywords: Contrastive Learning;Ordinal Classification/Regression
Decision: Poster
Title: TRAM: Bridging Trust Regions and Sharpness Aware Minimization
Authors: Tom Sherborne, Naomi Saphra, Pradeep Dasigi, Hao Peng
Affiliations: University of Illinois Urbana-Champaign; Kempner Institute, Harvard University; Allen Institute for AI; University of Edinburgh
Conference: iclr 2024 (main track)
Keywords: sharpness-aware minimization;sam;trust region;optimization;cross-lingual transfer;language modeling
Decision: Spotlight
Title: Navigating the Design Space of Equivariant Diffusion-Based Generative Models for De Novo 3D Molecule Generation
Authors: Tuan Le, Julian Cremer, Frank Noe, Djork-Arné Clevert, Kristof T. Schütt
Affiliations: Pfizer Research & Development; Pfizer Research & Development, University Pompeu Fabra; Freie Universitát Berlin, Microsoft Research; Pfizer Research & Development, Freie Universitát Berlin
Conference: iclr 2024 (main track)
Keywords: Generative Modelling;Molecule Design;Denoising Diffusion Probabilistic Models;Ablation Study;Equivariant Graph Neural Network;3D Molecule Generation;Diffusion Model
Decision: Poster
Title: DV-3DLane: End-to-end Multi-modal 3D Lane Detection with Dual-view Representation
Authors: Yueru Luo, Shuguang Cui, Zhen Li
Affiliations: FNii, CUHK-Shenzhen and School of Science and Engineering, CUHK-Shenzhen; School of Science and Engineering, CUHK-Shenzhen and FNii, CUHK-Shenzhen
Conference: iclr 2024 (main track)
Keywords: 3D Lane Detection;Multi-modal
Decision: Poster
Title: Revisiting Deep Audio-Text Retrieval Through the Lens of Transportation
Authors: Tien Manh Luong, Khai Nguyen, Nhat Ho, Reza Haffari, Dinh Phung, Lizhen Qu
Affiliations: Monash University, Australia; University of Texas at Austin, USA
Conference: iclr 2024 (main track)
Keywords: Cross-modal;Audio-text Retrieval;Representation Learning
Decision: Poster