hunoutl/paperlists huggingface dataset:
Title: InfoBatch: Lossless Training Speed Up by Unbiased Dynamic Data Pruning
Authors: Ziheng Qin, Kai Wang, Zangwei Zheng, Jianyang Gu, Xiangyu Peng, Zhaopan Xu, Zhou Daquan, Lei Shang, Baigui Sun, Xuansong Xie, Yang You
Affiliations: Alibaba Group; National University of Singapore
Conference: iclr 2024 (main track)
Keywords: Dynamic Data Pruning; Training acceleration
Decision: Oral
Title: Graph-based Virtual Sensing from Sparse and Partial Multivariate Observations
Authors: Giovanni De Felice, Andrea Cini, Daniele Zambon, Vladimir Gusev, Cesare Alippi
Affiliations: Politecnico di Milano; University of Liverpool; The Swiss AI Lab IDSIA & Universit `a della Svizzera italiana
Conference: iclr 2024 (main track)
Keywords: Spatio-temporal data;time series;virtual sensing;imputation;graph neural networks;deep learning
Decision: Poster
Title: Unraveling the Enigma of Double Descent: An In-depth Analysis through the Lens of Learned Feature Space
Authors: Yufei Gu, Xiaoqing Zheng, Tomaso Aste
Affiliations: Department of Computer Science, University College London; School of Computer Science, Fudan University and Department of Computer Science, University College London; School of Computer Science, Fudan University and Shanghai Key Laboratory of Intelligent Information Processing
Conference: iclr 2024 (main track)
Keywords: neural network;double descent;classification;interpretability
Decision: Poster
Title: The Generative AI Paradox: “What It Can Create, It May Not Understand”
Authors: Peter West, Ximing Lu, Nouha Dziri, Faeze Brahman, Linjie Li, Jena Hwang, Liwei Jiang, Jillian Fisher, Abhilasha Ravichander, Khyathi Chandu, Benjamin Newman, Pang Wei Koh, Allyson Ettinger, Yejin Choi
Affiliations: University of Washington and Allen Institute for Artificial Intelligence; University of Washington; Allen Institute for Artificial Intelligence
Conference: iclr 2024 (main track)
Keywords: LMs;language models;vision models;GPT4;ChatGPT;Midjourney;generative models;understanding models
Decision: Poster
Title: SEAL: A Framework for Systematic Evaluation of Real-World Super-Resolution
Authors: Wenlong Zhang, Xiaohui Li, Xiangyu Chen, Xiaoyun Zhang, Yu Qiao, Xiao-Ming Wu, Chao Dong
Affiliations: University of Macau; Shenzhen Institute of Advanced Technology, CAS; Shanghai Jiao Tong University; Shanghai AI Laboratory; The HongKong Polytechnic University
Conference: iclr 2024 (main track)
Keywords: Image super-resolution; Real-World super-resolution
Decision: Spotlight
Title: Energy-based Automated Model Evaluation
Authors: Ru Peng, Heming Zou, Haobo Wang, Yawen Zeng, Zenan Huang, Junbo Zhao
Affiliations: Zhejiang University; ByteDance
Conference: iclr 2024 (main track)
Keywords: Automated Model Evalutaion;Energy;Meta-distribution;Distribution shift
Decision: Poster
Title: Online Stabilization of Spiking Neural Networks
Authors: Yaoyu Zhu, Jianhao Ding, Tiejun Huang, Xiaodong Xie, Zhaofei Yu
Affiliations: School of Computer Science, Peking University & Institute for Artificial Intelligence, Peking University; School of Computer Science, Peking University
Conference: iclr 2024 (main track)
Keywords: spiking neural networks;online training
Decision: Spotlight
Title: Accelerated Convergence of Stochastic Heavy Ball Method under Anisotropic Gradient Noise
Authors: Rui Pan, Yuxing Liu, Xiaoyu Wang, Tong Zhang
Affiliations: University of Illinois Urbana-Champaign; The Hong Kong University of Science and Technology; Fudan University
Conference: iclr 2024 (main track)
Keywords: optimization theory;convergence analysis;heavy-ball momentum;learning rate schedule;near-optimal convergence rate
Decision: Poster
Title: Channel Vision Transformers: An Image Is Worth 1 x 16 x 16 Words
Authors: Yujia Bao, Srinivasan Sivanandan, THEOFANIS KARALETSOS
Affiliations: Chan Zuckerberg Initiative; Accenture; Insitro
Conference: iclr 2024 (main track)
Keywords: vision transformer;representation learning;hyper spectral imaging
Decision: Poster
Title: Synergistic Patch Pruning for Vision Transformer: Unifying Intra- & Inter-Layer Patch Importance
Authors: Yuyao Zhang, Lan Wei, Nikolaos Freris
Affiliations: Institute of Advanced Technology, University of Science and Technology of China, Hefei, Anhui, 230026, P.R.China; School of Computer Science and Technology, University of Science and Technology of China, Hefei, Anhui, 230026, P.R.China
Conference: iclr 2024 (main track)
Keywords: Vision Transformers;Model compression;Dynamic pruning
Decision: Poster
Title: AutoCast++: Enhancing World Event Prediction with Zero-shot Ranking-based Context Retrieval
Authors: Qi Yan, Raihan Seraj, Jiawei He, Lili Meng, Tristan Sylvain
Affiliations: Independent Researcher; Borealis AI; University of British Columbia
Conference: iclr 2024 (main track)
Keywords: world event prediction;large language models
Decision: Poster
Title: What Matters to You? Towards Visual Representation Alignment for Robot Learning
Authors: Thomas Tian, Chenfeng Xu, Masayoshi Tomizuka, Jitendra Malik, Andrea Bajcsy
Affiliations: Carnegie Mellon University; UC Berkeley
Conference: iclr 2024 (main track)
Keywords: Robot learning;Preference learning;Visual reward learning;Representation alignment
Decision: Poster
Title: Neural Atoms: Propagating Long-range Interaction in Molecular Graphs through Efficient Communication Channel
Authors: Xuan Li, Zhanke Zhou, Jiangchao Yao, Yu Rong, Lu Zhang, Bo Han
Affiliations: Hong Kong Baptist University; Shanghai AI Laboratory; CMIC, Shanghai Jiao Tong University
Conference: iclr 2024 (main track)
Keywords: Long Range Interaction; Molecular Graph;
Decision: Poster
Title: Fast Updating Truncated SVD for Representation Learning with Sparse Matrices
Authors: Haoran Deng, Yang Yang, Jiahe Li, Cheng Chen, Weihao Jiang, Shiliang Pu
Affiliations: Hikvision Research Institute; Zhejiang University
Conference: iclr 2024 (main track)
Keywords: Singular value decomposition; Sparse matrix; Unsupervised learning
Decision: Poster
Title: FLASK: Fine-grained Language Model Evaluation based on Alignment Skill Sets
Authors: Seonghyeon Ye, Doyoung Kim, Sungdong Kim, Hyeonbin Hwang, Seungone Kim, Yongrae Jo, James Thorne, Juho Kim, Minjoon Seo
Affiliations: KAIST
Conference: iclr 2024 (main track)
Keywords: large language models;language model evaluation;natural language processing
Decision: Spotlight
Title: MG-TSD: Multi-Granularity Time Series Diffusion Models with Guided Learning Process
Authors: Xinyao Fan, Yueying Wu, XU, Yu-Hao Huang, Weiqing Liu, Jiang Bian
Conference: iclr 2024 (main track)
Keywords: denoising diffusion models;multi-granularity;time series forecasting
Decision: Poster
Title: Internal Cross-layer Gradients for Extending Homogeneity to Heterogeneity in Federated Learning
Authors: Yun-Hin Chan, Rui Zhou, Running Zhao, Zhihan JIANG, Edith Ngai
Affiliations: Department of Electrical and Electronic Engineering, The University of Hong Kong
Conference: iclr 2024 (main track)
Keywords: Federated Learning;heterogeneity;convex optimization.
Decision: Poster
Title: PAC-FNO: Parallel-Structured All-Component Fourier Neural Operators for Recognizing Low-Quality Images
Authors: Jinsung Jeon, Hyundong Jin, Jonghyun Choi, Sanghyun Hong, Dongeun Lee, Kookjin Lee, Noseong Park
Affiliations: Yonsei University; Oregon State University; Seoul National University; KAIST; Texas A&M University-Commerce; Arizona State University
Conference: iclr 2024 (main track)
Keywords: Low-quality image;Visual recognition;Classification;Low-resolution;Input variations
Decision: Poster
Title: WizardLM: Empowering Large Pre-Trained Language Models to Follow Complex Instructions
Authors: Can Xu, Qingfeng Sun, Kai Zheng, Xiubo Geng, Pu Zhao, Jiazhan Feng, Chongyang Tao, Qingwei Lin, Daxin Jiang
Affiliations: Peking University; Microsoft
Conference: iclr 2024 (main track)
Keywords: Large Language Model;Instruction Fine-tuning
Decision: Poster
Title: Butterfly Effects of SGD Noise: Error Amplification in Behavior Cloning and Autoregression
Authors: Adam Block, Dylan Foster, Akshay Krishnamurthy, Max Simchowitz, Cyril Zhang
Affiliations: MIT, Cambridge, MA, 02139; Department of Mathematics, MIT, Cambridge, MA, 02139; Microsoft Research, New York, NY, 10012
Conference: iclr 2024 (main track)
Keywords: Deep Learning;Imitation Learning;Stability;Exponential Moving Average;Optimization
Decision: Poster
Title: Error Feedback Reloaded: From Quadratic to Arithmetic Mean of Smoothness Constants
Authors: Peter Richtarik, Elnur Gasanov, Konstantin Burlachenko
Affiliations: AI Initiative, KAUST∗, Saudi Arabia; AI Initiative, KAUST, Saudi Arabia
Conference: iclr 2024 (main track)
Keywords: error feedback;greedy sparsification;distributed optimization;communication complexity;machine cloning;weighted error feedback;quadratic mean;arithmetic mean;large stepsizes
Decision: Poster
Title: Transferring Labels to Solve Annotation Mismatches Across Object Detection Datasets
Authors: Yuan-Hong Liao, David Acuna, Rafid Mahmood, James Lucas, Viraj Prabhu, Sanja Fidler
Affiliations: University of Toronto, Vector Institute; NVIDIA, University of Ottawa; NVIDIA; Georgia Institute of Technology; NVIDIA, University of Toronto, Vector Institute
Conference: iclr 2024 (main track)
Keywords: object detection;data-centric AI;label translation;dataset improvements
Decision: Poster
Title: Efficient Multi-agent Reinforcement Learning by Planning
Authors: Qihan Liu, Jianing Ye, Xiaoteng Ma, Jun Yang, Bin Liang, Chongjie Zhang
Affiliations: Institute for Interdisciplinary Information Sciences, Tsinghua University; Department of Computer Science & Engineering, Washington University in St. Louis; Department of Automation, Tsinghua University
Conference: iclr 2024 (main track)
Keywords: Model-based RL;MARL;Planning;MCTS
Decision: Poster
Title: Effective pruning of web-scale datasets based on complexity of concept clusters
Authors: Amro Kamal, Evgenia Rusak, Kushal Tirumala, Wieland Brendel, Kamalika Chaudhuri, Ari Morcos
Affiliations: DatologyAI; Meta AI (FAIR); ELLIS Institute Tübingen, Max-Planck Institute for Intelligent Systems, Tübingen AI Center; University of California San Diego; University of Tübingen, Germany
Conference: iclr 2024 (main track)
Keywords: pruning;large-scale;data curation;concept-based;LAION;DataComp
Decision: Poster
Title: LLCP: Learning Latent Causal Processes for Reasoning-based Video Question Answer
Authors: Guangyi Chen, Yuke Li, Xiao Liu, Zijian Li, Eman Al Suradi, Donglai Wei, Kun Zhang
Affiliations: Mohamed bin Zayed University of Artificial Intelligence, Abu Dhabi, UAE; Boston College, Massachusetts, USA; Carnegie Mellon University, Pittsburgh PA, USA
Conference: iclr 2024 (main track)
Keywords: Video Question Answer;Visual Reasoning;Causal Represetation Learning
Decision: Poster
Title: On Penalty Methods for Nonconvex Bilevel Optimization and First-Order Stochastic Approximation
Authors: Jeongyeol Kwon, Dohyun Kwon, Stephen Wright, Robert Nowak
Conference: iclr 2024 (main track)
Keywords: Bilevel-Optimization;Penalty Methods;Landscape Analysis;Non-Asymptotic Analysis;First-Order Methods
Decision: Spotlight
Title: Idempotence and Perceptual Image Compression
Authors: Tongda Xu, Ziran Zhu, Dailan He, Yanghao Li, Lina Guo, Yuanyuan Wang, Zhe Wang, Hongwei Qin, Yan Wang, Jingjing Liu, Ya-Qin Zhang
Affiliations: SenseTime Research; SenseTime Research; The Chinese University of Hong Kong; Institute for AI Industry Research, Tsinghua University; Department of Computer Science and Technology, Tsinghua University; School of Vehicle and Mobility, Tsinghua University; School of Vehicle and Mobility, Tsinghua University; Institute for AI Industry Research, Tsinghua University; Institute of Software, Chinese Academy of Sciences; Institute for AI Industry Research, Tsinghua University; Department of Computer Science and Technology, Tsinghua University; Institute for AI Industry Research, Tsinghua University
Conference: iclr 2024 (main track)
Keywords: perceptual image compression;neural image compression
Decision: Spotlight
Title: Finite-Time Analysis of On-Policy Heterogeneous Federated Reinforcement Learning
Authors: Chenyu Zhang, Han Wang, Aritra Mitra, James Anderson
Affiliations: Department of Electrical Engineering, Columbia University, New York, NY 10025, USA; Department of Electrical and Computer Engineering, NC State University, Raleigh, NC 27695, USA; Data Science Institute, Columbia University, New York, NY 10025, USA
Conference: iclr 2024 (main track)
Keywords: reinforcement learning;federated learning;temporal difference learning
Decision: Poster
Title: Optimistic Bayesian Optimization with Unknown Constraints
Authors: Quoc Phong Nguyen, Wan Theng Ruth Chew, Le Song, Bryan Kian Hsiang Low, Patrick Jaillet
Affiliations: School of Computing, National University of Singapore, Singapore; LIDS and EECS, Massachusetts Institute of Technology, USA
Conference: iclr 2024 (main track)
Keywords: Bayesian optimization;black box constraint;decoupled query
Decision: Poster
Title: Finite-State Autoregressive Entropy Coding for Efficient Learned Lossless Compression
Authors: Yufeng Zhang, Hang Yu, Jianguo Li, Weiyao Lin
Affiliations: Ant Group; Shanghai Jiao Tong University; Shanghai Jiao Tong University, Ant Group
Conference: iclr 2024 (main track)
Keywords: Lossless Compression;Autoregressive Model;Acceleration;Entropy Coding;Autoencoder
Decision: Spotlight
Title: Model Merging by Uncertainty-Based Gradient Matching
Authors: Nico Daheim, Thomas Möllenhoff, Edoardo M. Ponti, Iryna Gurevych, Mohammad Emtiyaz Khan
Affiliations: RIKEN Center for Advanced Intelligence Project, Tokyo, Japan; Ubiquitous Knowledge Processing Lab (UKP Lab), Department of Computer Science and Hessian Center for AI (hessian.AI), Technical University of Darmstadt; University of Edinburgh
Conference: iclr 2024 (main track)
Keywords: Model Merging;Gradient Matching;Language Modeling;Model Editing;Transfer Learning
Decision: Poster
Title: SpaCE: The Spatial Confounding Environment
Authors: Mauricio Tec, Ana Trisovic, Michelle Audirac, Sophie Woodward, Jie Hu, Naeem Khoshnevis, Francesca Dominici
Affiliations: Department of Biostatistics, Harvard University
Conference: iclr 2024 (main track)
Keywords: benchmarks;spatial confounding;graph neural networks;semi-synthetic data;causal inference
Decision: Poster
Title: Plugin estimators for selective classification with out-of-distribution detection
Authors: Harikrishna Narasimhan, Aditya Krishna Menon, Wittawat Jitkrittum, Sanjiv Kumar
Affiliations: Google Research
Conference: iclr 2024 (main track)
Keywords: Selective classification;Learning to reject;Abstention;OOD detection;SCOD;Loss functions;Plug-in estimators;Statistical consistency
Decision: Poster
Title: Boosting the Adversarial Robustness of Graph Neural Networks: An OOD Perspective
Authors: Kuan Li, YiWen Chen, Yang Liu, Jin Wang, QING HE, Minhao Cheng, Xiang Ao
Affiliations: Penn State University; Beihang University; The Hong Kong University of Science and Technology; Institute of Computing Technology, Chinese Academy of Sciences; UCLA
Conference: iclr 2024 (main track)
Keywords: Graph Neural Networks;Adversarial Robustness;Data Distribution
Decision: Poster
Title: DreamCraft3D: Hierarchical 3D Generation with Bootstrapped Diffusion Prior
Authors: Jingxiang Sun, Bo Zhang, Ruizhi Shao, Lizhen Wang, Wen Liu, Zhenda Xie, Yebin Liu
Affiliations: DeepSeek AI; Zhejiang University; Tsinghua University
Conference: iclr 2024 (main track)
Keywords: text to 3D;diffusion models;NeRF;neural rendering;3d synthesis
Decision: Poster
Title: On the Reliability of Watermarks for Large Language Models
Authors: John Kirchenbauer, Jonas Geiping, Yuxin Wen, Manli Shu, Khalid Saifullah, Kezhi Kong, Kasun Fernando, Aniruddha Saha, Micah Goldblum, Tom Goldstein
Affiliations: New York University; ELLIS Institute Tübingen, Max-Planck Institute for Intelligent Systems, Tübingen AI Center; Scuola Normale Superiore di Pisa; University of Maryland
Conference: iclr 2024 (main track)
Keywords: Machine Learning;LLM;Watermark;Language Model;Natural Language Processing;Generative AI
Decision: Poster
Title: Beyond Worst-case Attacks: Robust RL with Adaptive Defense via Non-dominated Policies
Authors: Xiangyu Liu, Chenghao Deng, Yanchao Sun, Yongyuan Liang, Furong Huang
Affiliations: University of Maryland, College Park; J.P. Morgan AI Research
Conference: iclr 2024 (main track)
Keywords: robust reinforcement learning; beyond worse-case
Decision: Spotlight
Title: A Plug-and-Play Image Registration Network
Authors: JUNHAO HU, Weijie Gan, Zhixin Sun, Hongyu An, Ulugbek Kamilov
Affiliations: Washington University in St. Louis, St. Louis, MO, USA
Conference: iclr 2024 (main track)
Keywords: deformable image registration;plug-and-play priors;deep equilibrium models;iterative algorithms
Decision: Poster
Title: ReLoRA: High-Rank Training Through Low-Rank Updates
Authors: Vladislav Lialin, Sherin Muckatira, Namrata Shivagunde, Anna Rumshisky
Affiliations: University of Massachusetts Lowell
Conference: iclr 2024 (main track)
Keywords: language models;pre-training;training efficiency;parameter-efficient fine-tuning;lora
Decision: Poster
Title: PINNsFormer: A Transformer-Based Framework For Physics-Informed Neural Networks
Authors: Zhiyuan Zhao, Xueying Ding, B. Aditya Prakash
Affiliations: Carnegie Mellon University, Pittsburgh, PA 15213; Georgia Institute of Technology, Atlanta, GA 30332
Conference: iclr 2024 (main track)
Keywords: Physics-Informed Neural Networks;Transformer;Self-Attention
Decision: Poster
Title: The LLM Surgeon
Authors: Tycho van der Ouderaa, Markus Nagel, Mart van Baalen, Tijmen Blankevoort
Affiliations: QUV A Lab, University of Amsterdam; Qualcomm AI Research†; Imperial College London
Conference: iclr 2024 (main track)
Keywords: large language model;LLM;compression;pruning;fisher
Decision: Poster
Title: HypeBoy: Generative Self-Supervised Representation Learning on Hypergraphs
Authors: Sunwoo Kim, Shinhwan Kang, Fanchen Bu, Soo Yong Lee, Jaemin Yoo, Kijung Shin
Affiliations: School of Electrical Engineering, Korea Advanced Institute of Science and Technology (KAIST); Kim Jaechul Graduate School of AI, Korea Advanced Institute of Science and Technology (KAIST)
Conference: iclr 2024 (main track)
Keywords: Hypergraph;Self-supervised learning;Hypergraph neural network
Decision: Poster
Title: GraphPulse: Topological representations for temporal graph property prediction
Authors: Kiarash Shamsi, Farimah Poursafaei, Shenyang(Andy) Huang, Tran Gia Bao Ngo, Baris Coskunuzer, Cuneyt Akcora
Affiliations: AI Institute - University of Central Florida; University of Texas at Dallas; Mila - Quebec AI Institute, School of Computer Science, McGill University; Department of computer science, University of Manitoba
Conference: iclr 2024 (main track)
Keywords: Temporal Graph Analysis;Topological Data Analysis;Graph Property Prediction;Graph Neural Networks
Decision: Poster
Title: Improving Domain Generalization with Domain Relations
Authors: Huaxiu Yao, Xinyu Yang, Xinyi Pan, Shengchao Liu, Pang Wei Koh, Chelsea Finn
Affiliations: Caltech; Stanford University, UNC-Chapel Hill; CMU; University of Washington; Stanford University; UCLA
Conference: iclr 2024 (main track)
Keywords: Domain Generalization; Domain Relations; Distribution Shift
Decision: Spotlight
Title: The Blessing of Randomness: SDE Beats ODE in General Diffusion-based Image Editing
Authors: Shen Nie, Hanzhong Guo, Cheng Lu, Yuhao Zhou, Chenyu Zheng, Chongxuan Li
Affiliations: Department of Computer Science and Technology, Tsinghua University, Beijing, China; Gaoling School of Artificial Intelligence, Renmin University of China, Beijing, China
Conference: iclr 2024 (main track)
Keywords: Diffusion models;Stochastic differential equations;Image dragging;Image editing;Score-based models
Decision: Poster
Title: Bounding the Expected Robustness of Graph Neural Networks Subject to Node Feature Attacks
Authors: Yassine ABBAHADDOU, Sofiane ENNADIR, Johannes Lutzeyer, Michalis Vazirgiannis, Henrik Boström
Affiliations: LIX, Ecole Polytechnique, IP Paris, France; Ecole Polytechnique, IP Paris & KTH Stockholm, Sweden; EECS, KTH, Stockholm, Sweden
Conference: iclr 2024 (main track)
Keywords: Graph Neural Networks;Adversarial Robustness
Decision: Poster
Title: Cleanba: A Reproducible and Efficient Distributed Reinforcement Learning Platform
Authors: Shengyi Huang, Jiayi Weng, Rujikorn Charakorn, Min Lin, Zhongwen Xu, Santiago Ontanon
Affiliations: Drexel University; Hugging Face; VISTEC; Sea AI Lab; Google; Tencent AI Lab
Conference: iclr 2024 (main track)
Keywords: Distributed;Deep Reinforcement Learning;Distributed Deep Reinforcement Learning;Reproducibility
Decision: Poster
Title: Robustifying State-space Models for Long Sequences via Approximate Diagonalization
Authors: Annan Yu, Arnur Nigmetov, Dmitriy Morozov, Michael W Mahoney, N. Benjamin Erichson
Affiliations: Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA; Department of Statistics, University of California at Berkeley, Berkeley, CA 94720, USA; Center for Applied Mathematics, Cornell University, Ithaca, NY 14853, USA; Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA; International Computer Science Institute, Berkeley, CA 94704, USA; Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA
Conference: iclr 2024 (main track)
Keywords: state-space models;sequence models;Long-Range Arena;recurrent neural networks
Decision: Spotlight
Title: Simplicial Representation Learning with Neural $k$-Forms
Authors: Kelly Maggs, Celia Hacker, Bastian Rieck
Affiliations: Max Planck Institute for Mathematics in the Sciences; ´Ecole Polytechnique F ´ed´erale de Lausanne (EPFL); AIDOS Lab, Institute of AI for Health, Helmholtz Munich & Technical University of Munich (TUM)
Conference: iclr 2024 (main track)
Keywords: geometric deep learning;differential forms;representation learning;graph learning;geometry;topology
Decision: Poster
Title: BayesPrompt: Prompting Large-Scale Pre-Trained Language Models on Few-shot Inference via Debiased Domain Abstraction
Authors: Jiangmeng Li, Fei Song, Yifan Jin, Wenwen Qiang, Changwen Zheng, Fuchun Sun, Hui Xiong
Affiliations: University of Chinese Academy of Sciences, Beijing, China; The Hong Kong University of Science and Technology (Guangzhou), Guangzhou, China; National Key Laboratory of Space Integrated Information System, Institute of Software Chinese Academy of Sciences, Beijing, China; Tsinghua University, Beijing, China
Conference: iclr 2024 (main track)
Keywords: Prompt;Pre-Trained;Few-shot;Debiased;Domain Abstraction
Decision: Poster
Title: DeepSPF: Spherical SO(3)-Equivariant Patches for Scan-to-CAD Estimation
Authors: Driton Salihu, Adam Misik, Yuankai Wu, Constantin Patsch, Fabian Seguel, Eckehard Steinbach
Affiliations: Chair of Media Technology and Munich Institute of Robotics and Machine Intelligence, Department of Computer Engineering, Technical University of Munich, School of Computation, Information and Technology; Siemens Technology
Conference: iclr 2024 (main track)
Keywords: 3D Point Cloud Representation;3D Point Cloud Registration;Scan-to-CAD;Spherical Gaussians;Equivariant
Decision: Poster
Title: Causal Fairness under Unobserved Confounding: A Neural Sensitivity Framework
Authors: Maresa Schröder, Dennis Frauen, Stefan Feuerriegel
Affiliations: Munich Center for Machine Learning, LMU Munich
Conference: iclr 2024 (main track)
Keywords: Causal Fairness;Sensitivity Analysis;Fair Prediction;Unobserved Confounding
Decision: Poster
Title: Point2SSM: Learning Morphological Variations of Anatomies from Point Clouds
Authors: Jadie Adams, Shireen Elhabian
Affiliations: Scientific Computing and Imaging Institute, Kalhert School of Computing, University of Utah, USA
Conference: iclr 2024 (main track)
Keywords: Unsupervised learning;global correspondence;point cloud;statsitical shape modeling
Decision: Spotlight
Title: Decomposed Diffusion Sampler for Accelerating Large-Scale Inverse Problems
Authors: Hyungjin Chung, Suhyeon Lee, Jong Ye
Affiliations: Dept. of Bio & Brain Engineering, KAIST; Kim Jae Chul Graduate School of AI, KAIST
Conference: iclr 2024 (main track)
Keywords: Diffusion models; Inverse problems; Krylov subspace
Decision: Poster