hunoutl/paperlists huggingface dataset:
Title: An Efficient Membership Inference Attack for the Diffusion Model by Proximal Initialization
Authors: Fei Kong, Jinhao Duan, ruipeng ma, Heng Tao Shen, Xiaofeng Zhu, Xiaoshuang Shi, Kaidi Xu
Affiliations: University of Electronic Science and Technology of China; Drexel University
Conference: iclr 2024 (main track)
Keywords: MIA;Diffusion Model;Text-To-Speech
Decision: Poster
Title: DistillSpec: Improving Speculative Decoding via Knowledge Distillation
Authors: Yongchao Zhou, Kaifeng Lyu, Ankit Singh Rawat, Aditya Krishna Menon, Afshin Rostamizadeh, Sanjiv Kumar, Jean-François Kagy, Rishabh Agarwal
Affiliations: Google DeepMind, Mila; Google Research, University of Toronto; Google Research, Princeton University; Google Research
Conference: iclr 2024 (main track)
Keywords: large language model;knowledge distillation;speculative decoding
Decision: Poster
Title: Understanding the Robustness of Multi-modal Contrastive Learning to Distribution Shift
Authors: Yihao Xue, Siddharth Joshi, Dang Nguyen, Baharan Mirzasoleiman
Affiliations: Department of Computer Science, University of California, Los Angeles
Conference: iclr 2024 (main track)
Keywords: multi-model contrastive learning;contrastive learning theory;representation learning;theory;robustness;distribution shift
Decision: Poster
Title: Variational Inference for SDEs Driven by Fractional Noise
Authors: Rembert Daems, Manfred Opper, Guillaume Crevecoeur, Tolga Birdal
Affiliations: D2LAB, Ghent University, Belgium; MIRO core lab, Flanders Make@UGent, Belgium; Dept. of Theor. Comp. Science, Technical University of Berlin, Germany; Inst. of Mathematics, University of Potsdam, Germany; Centre for Systems Modelling and Quant. Biomed., University of Birmingham, UK; Dept. of Computing, Imperial College London, UK
Conference: iclr 2024 (main track)
Keywords: variational inference;neural sdes;stochastic differential equations;brownian motion;fractional noise;fractional brownian motion;markov approximation;markov representation
Decision: Spotlight
Title: A Data-Driven Measure of Relative Uncertainty for Misclassification Detection
Authors: Eduardo Dadalto Câmara Gomes, Marco Romanelli, Georg Pichler, Pablo Piantanida
Affiliations: Institute of Telecommunications, TU Wien, 1040 Vienna, Austria; Laboratoire des signaux et systèmes (L2S), Université Paris-Saclay CNRS CentraleSupélec, Gif-sur-Yvette, France; New York University, New York, NY, USA; International Laboratory on Learning Systems (ILLS), Quebec AI Institute (MILA), CNRS CentraleSupélec - Université Paris-Saclay, Montreal, Canada
Conference: iclr 2024 (main track)
Keywords: Misclassification detection;Uncertainty estimation;Trustworthy AI;Safety
Decision: Poster
Title: SILO Language Models: Isolating Legal Risk In a Nonparametric Datastore
Authors: Sewon Min, Suchin Gururangan, Eric Wallace, Weijia Shi, Hannaneh Hajishirzi, Noah Smith, Luke Zettlemoyer
Affiliations: University of Washington; UC Berkeley
Conference: iclr 2024 (main track)
Keywords: language modeling; retrieval; legality of language modeling
Decision: Spotlight
Title: Conformal Prediction via Regression-as-Classification
Authors: Etash Guha, Shlok Natarajan, Thomas Möllenhoff, Mohammad Emtiyaz Khan, Eugene Ndiaye
Affiliations: RIKEN Center for AI Project, SambaNova Systems; Apple; RIKEN Center for AI Project; Salesforce
Conference: iclr 2024 (main track)
Keywords: Conformal Prediction;Probability Function;Regression;Neural Networks
Decision: Poster
Title: Long-Short-Range Message-Passing: A Physics-Informed Framework to Capture Non-Local Interaction for Scalable Molecular Dynamics Simulation
Authors: Yunyang Li, Yusong Wang, Lin Huang, Han Yang, Xinran Wei, Jia Zhang, Tong Wang, Zun Wang, Bin Shao, Tie-Yan Liu
Affiliations: MSR AI4Science; Xi’an Jiaotong University; Yale University
Conference: iclr 2024 (main track)
Keywords: Molecular Modeling;Quantum Chemistry;Fragmentation;Non-Local Interactions;EGNN
Decision: Poster
Title: Selective Mixup Fine-Tuning for Optimizing Non-Decomposable Objectives
Authors: Shrinivas Ramasubramanian, Harsh Rangwani, Sho Takemori, Kunal Samanta, Yuhei Umeda, Venkatesh Babu Radhakrishnan
Affiliations: Fujitsu Limited; Indian Institute of Science; Fujitsu Research of India
Conference: iclr 2024 (main track)
Keywords: Non-Decomposable Objectives;Long-Tail Learning;Semi-Supervised Learning
Decision: Spotlight
Title: Improving protein optimization with smoothed fitness landscapes
Authors: Andrew Kirjner, Jason Yim, Raman Samusevich, Shahar Bracha, Tommi Jaakkola, Regina Barzilay, Ila Fiete
Affiliations: IOCB Prague, Czech Academy of Sciences, CIIRC, Czech Technical University in Prague, University of Chemistry and Technology, Prague; Massachusetts Institute of Technology
Conference: iclr 2024 (main track)
Keywords: protein design;discrete optimization;protein engineering;markov chain monte carlo;graph signal processing
Decision: Poster
Title: CAMIL: Context-Aware Multiple Instance Learning for Cancer Detection and Subtyping in Whole Slide Images
Authors: olga fourkioti, Matt De Vries, Chris Bakal
Affiliations: The Institute of Cancer Research, London, United Kingdom
Conference: iclr 2024 (main track)
Keywords: Multiple Instance Learning;Histopathology;Nearest Neighbors;Graph Representation
Decision: Spotlight
Title: Neural SDF Flow for 3D Reconstruction of Dynamic Scenes
Authors: wei mao, Richard Hartley, Mathieu Salzmann, Wei Mao
Affiliations: Australian National University; CVLab, EPFL & SDSC, Switzerland; Australian National University & Google
Conference: iclr 2024 (main track)
Keywords: 3D reconstruction;NeRF;dynamic scene
Decision: Poster
Title: Accurate Retraining-free Pruning for Pretrained Encoder-based Language Models
Authors: Seungcheol Park, Hojun Choi, U Kang
Affiliations: Seoul National University, Seoul, South Korea; Kim Jaechul Graduate School of AI, KAIST, Seoul, South Korea
Conference: iclr 2024 (main track)
Keywords: Retraining-free;Pruning;Compression;Transformers
Decision: Poster
Title: BaDExpert: Extracting Backdoor Functionality for Accurate Backdoor Input Detection
Authors: Tinghao Xie, Xiangyu Qi, Ping He, Yiming Li, Jiachen (Tianhao) Wang, Prateek Mittal
Affiliations: Princeton University; Zhejiang University
Conference: iclr 2024 (main track)
Keywords: Backdoor Input Detection;Backdoor Defense;AI Security;Deep Learning
Decision: Poster
Title: Towards Eliminating Hard Label Constraints in Gradient Inversion Attacks
Authors: Yanbo Wang, Jian Liang, Ran He
Affiliations: School of Artificial Intelligence, University of Chinese Academy of Sciences (UCAS) & CRIPAC & MAIS, Institute of Automation, Chinese Academy of Sciences (CASIA)
Conference: iclr 2024 (main track)
Keywords: label recovery;gradient inversion attacks
Decision: Poster
Title: f-FERM: A Scalable Framework for Robust Fair Empirical Risk Minimization
Authors: Sina Baharlouei, Shivam Patel, Meisam Razaviyayn
Affiliations: University of Southern California; Department of Electrical Engineering, IIT Bombay
Conference: iclr 2024 (main track)
Keywords: Algorithmic Fairness;Distributionally Robust Optimization;Distribution Shift;Fairness;f-divergences
Decision: Poster
Title: SocioDojo: Building Lifelong Analytical Agents with Real-world Text and Time Series
Authors: Junyan Cheng, Peter Chin
Affiliations: Thayer School of Engineering, Dartmouth College, Hanover, NH 03755, USA
Conference: iclr 2024 (main track)
Keywords: Large Langauge Models;Agent;Prompt Tunning;Time series forcasting
Decision: Spotlight
Title: MagicDrive: Street View Generation with Diverse 3D Geometry Control
Authors: Ruiyuan Gao, Kai Chen, Enze Xie, Lanqing HONG, Zhenguo Li, Dit-Yan Yeung, Qiang Xu
Affiliations: Huawei Noah’s Ark Lab; Hong Kong University of Science and Technology; The Chinese University of Hong Kong
Conference: iclr 2024 (main track)
Keywords: diffusion models;street view generation;3D control
Decision: Poster
Title: Learning Interactive Real-World Simulators
Authors: Sherry Yang, Yilun Du, Seyed Ghasemipour, Jonathan Tompson, Leslie Kaelbling, Dale Schuurmans, Pieter Abbeel
Affiliations: Google DeepMind; MIT; Google DeepMind, University of Alberta; UC Berkeley
Conference: iclr 2024 (main track)
Keywords: Generative simulator;simulating real-world interactions;planning;reinforcement learning;vision language models;video generation
Decision: Oral
Title: Memory-Assisted Sub-Prototype Mining for Universal Domain Adaptation
Authors: Yuxiang (YU-HSIANG) LAI, Yi Zhou, Xinghong Liu, Tao Zhou
Affiliations: School of Computer Science and Engineering, Nanjing University of Science and Technology, China; School of Computer Science and Engineering, Southeast University, China; Key Laboratory of New Generation Artificial Intelligence Technology and Its Interdisciplinary Applications (Southeast University), Ministry of Education, China
Conference: iclr 2024 (main track)
Keywords: Transfer Learning;Universal Domain Adaption;Memory-Assisted Network;Sub-Prototype Mining
Decision: Poster
Title: Branch-GAN: Improving Text Generation with (not so) Large Language Models
Authors: Fredrik Carlsson, Johan Broberg, Erik Hillbom, Magnus Sahlgren, Joakim Nivre
Affiliations: AI Sweden; RISE Research Institutes of Sweden
Conference: iclr 2024 (main track)
Keywords: GAN;GANN;Text Generation;NLP;NLU;Deep Learning;Machine Learning
Decision: Poster
Title: ViDA: Homeostatic Visual Domain Adapter for Continual Test Time Adaptation
Authors: Jiaming Liu, Senqiao Yang, Peidong Jia, Renrui Zhang, Ming Lu, Yandong Guo, Wei Xue, Shanghang Zhang
Affiliations: National Key Laboratory for Multimedia Information Processing, School of Computer Science, Peking University; Hong Kong University of Science and Technology; The Chinese University of Hong Kong; AI2Robotics
Conference: iclr 2024 (main track)
Keywords: Continual test-time adaptation;Visual Adapter
Decision: Poster
Title: Addressing Loss of Plasticity and Catastrophic Forgetting in Continual Learning
Authors: Mohamed Elsayed, A. Rupam Mahmood
Affiliations: Department of Computing Science, University of Alberta, Alberta Machine Intelligence Institute; Department of Computing Science, University of Alberta, CIFAR Canada AI Chair, Amii
Conference: iclr 2024 (main track)
Keywords: catastrophic forgetting;loss of plasticity;plasticity;stability;continual learning;streaming learning;online learning;incremental learning
Decision: Poster
Title: Fair and Efficient Contribution Valuation for Vertical Federated Learning
Authors: Zhenan Fan, Huang Fang, Xinglu Wang, Zirui Zhou, Jian Pei, Michael Friedlander, Yong Zhang
Affiliations: Huawei Technologies Canada; Simon Fraser University; University of British Columbia
Conference: iclr 2024 (main track)
Keywords: Vertical federated learning;Contribution valuation;Fairness
Decision: Poster
Title: NuwaDynamics: Discovering and Updating in Causal Spatio-Temporal Modeling
Authors: Kun Wang, Hao Wu, Yifan Duan, Guibin Zhang, Kai Wang, Xiaojiang Peng, yu zheng, Yuxuan Liang, Yang Wang
Affiliations: Suzhou Institute for Advanced Research, USTC; Tongji University; Shenzhen Technology University; National University of Singapore; JD iCity, JD Technology; Hong Kong University of Science and Technology (Guangzhou); School of Computer Science, USTC; School of Software Engineering, USTC; Key Laboratory of Precision and Intelligent Chemistry, University of Science and Technology of China (USTC)
Conference: iclr 2024 (main track)
Keywords: Spatio-temporal data mining;Causal inference;Two-stage framework
Decision: Spotlight
Title: Transformers can optimally learn regression mixture models
Authors: Reese Pathak, Rajat Sen, Weihao Kong, Abhimanyu Das
Affiliations: Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, Berkeley, CA 94709, USA; Google Research, Mountain View, CA 94043, USA
Conference: iclr 2024 (main track)
Keywords: transformers;mixture models;linear regression
Decision: Poster
Title: On the Analysis of GAN-based Image-to-Image Translation with Gaussian Noise Injection
Authors: Chaohua Shi, Kexin Huang, Lu Gan, Hongqing Liu, Mingrui Zhu, Nannan Wang, Xinbo Gao
Conference: iclr 2024 (main track)
Keywords: Image to Image translation;Noise robustness;f-divergence;Score matching;GAN
Decision: Poster
Title: Towards Meta-Pruning via Optimal Transport
Authors: Alexander Theus, Olin Geimer, Friedrich Wicke, Thomas Hofmann, Sotiris Anagnostidis, Sidak Pal Singh
Affiliations: Department of Computer Science, ETH Zurich, Switzerland
Conference: iclr 2024 (main track)
Keywords: Pruning;Fusion
Decision: Spotlight
Title: Neural Common Neighbor with Completion for Link Prediction
Authors: Xiyuan Wang, Haotong Yang, Muhan Zhang
Affiliations: Institute for Artificial Intelligence, Peking University; School of Intelligence Science and Technology, Peking University; Key Lab of Machine Perception (MoE); Institute for Artificial Intelligence, Peking University; School of Intelligence Science and Technology, Peking University.; Institute for Artificial Intelligence, Peking University
Conference: iclr 2024 (main track)
Keywords: Graph Neural Network;Link Prediction
Decision: Poster
Title: NeRM: Learning Neural Representations for High-Framerate Human Motion Synthesis
Authors: Dong Wei, Huaijiang Sun, Bin Li, Xiaoning Sun, Shengxiang Hu, Weiqing Li, Jianfeng Lu
Affiliations: School of Computer Science and Engineering, Nanjing University of Science and Technology; Tianjin AiForward Science and Technology Co., Ltd.
Conference: iclr 2024 (main track)
Keywords: Human motion synthesis;implicit neural representation;diffusion model;any-framerate training
Decision: Poster
Title: Consistent4D: Consistent 360° Dynamic Object Generation from Monocular Video
Authors: Yanqin Jiang, Li Zhang, Jin Gao, Weiming Hu, Yao Yao
Affiliations: State Key Laboratory of Multimodal Artificial Intelligence Systems (MAIS), CASIA; School of Artificial Intelligence, University of Chinese Academy of Sciences; School of Information Science and Technology, ShanghaiTech University; State Key Laboratory of Multimodal Artificial Intelligence Systems (MAIS), CASIA; School of Artificial Intelligence, University of Chinese Academy of Sciences; School of Data Science, Fudan University; State Key Laboratory for Novel Software Technology, Nanjing University; School of Intelligence Science and Technology, Nanjing University
Conference: iclr 2024 (main track)
Keywords: Dynamic object generation
Decision: Poster
Title: Adapting to Distribution Shift by Visual Domain Prompt Generation
Authors: Zhixiang Chi, Li Gu, Tao Zhong, Huan Liu, YUANHAO YU, Konstantinos Plataniotis, Yang Wang
Affiliations: Concordia University; McMaster University; University of Toronto
Conference: iclr 2024 (main track)
Keywords: Distribution shfts;Domain generalization;Visual prompt;Foundation model;Test-time adaptation
Decision: Poster
Title: Divide and not forget: Ensemble of selectively trained experts in Continual Learning
Authors: Grzegorz Rypeść, Sebastian Cygert, Valeriya Khan, Tomasz Trzcinski, Bartosz Zieliński, Bartłomiej Twardowski
Affiliations: IDEAS-NCBR, Warsaw University of Technology, Tooploox; IDEAS-NCBR, Gda´nsk University of Technology; IDEAS-NCBR, Jagiellonian University; IDEAS-NCBR, Computer Vision Center, Barcelona, Department of Computer Science, Universitat Aut `onoma de Barcelona; IDEAS-NCBR, Warsaw University of Technology
Conference: iclr 2024 (main track)
Keywords: continual learning;class incremental learning
Decision: Poster
Title: Evaluating Representation Learning on the Protein Structure Universe
Authors: Arian Jamasb, Alex Morehead, Zuobai Zhang, Chaitanya Joshi, Kieran Didi, Simon Mathis, Charles Harris, Jian Tang, Jianlin Cheng, Pietro Lio, Tom Blundell
Affiliations: Mila - Québec AI Institute; University of Cambridge; University of Missouri
Conference: iclr 2024 (main track)
Keywords: Protein;Representation;Learning;Protein Structure
Decision: Poster
Title: DSPy: Compiling Declarative Language Model Calls into State-of-the-Art Pipelines
Authors: Omar Khattab, Arnav Singhvi, Paridhi Maheshwari, Zhiyuan Zhang, Keshav Santhanam, Sri Vardhamanan A, Saiful Haq, Ashutosh Sharma, Thomas Joshi, Hanna Moazam, Heather Miller, Matei Zaharia, Christopher Potts
Affiliations: Microsoft Qatar; Amazon Alexa AI; IIT Bombay; Carnegie Mellon University; Calera Capital; Stanford University; Dashworks Technologies, Inc.; UC Berkeley
Conference: iclr 2024 (main track)
Keywords: programming models;prompting techniques;in-context learning;few-shot learning;chain of thought;multi-hop reasoning;language agents
Decision: Spotlight
Title: NeuroBack: Improving CDCL SAT Solving using Graph Neural Networks
Authors: Wenxi Wang, Yang Hu, Mohit Tiwari, Sarfraz Khurshid, Kenneth McMillan, Risto Miikkulainen
Affiliations: The University of Texas at Austin, Austin, TX 78712, USA
Conference: iclr 2024 (main track)
Keywords: Propositional satisfiability;Graph Neural Networks;CDCL SAT Solving;Backbone;Phase Prediction
Decision: Poster
Title: Let Models Speak Ciphers: Multiagent Debate through Embeddings
Authors: Chau Pham, Boyi Liu, Yingxiang Yang, Zhengyu Chen, Tianyi Liu, Jianbo Yuan, Bryan Plummer, Zhaoran Wang, Hongxia Yang
Affiliations: Boston University; Northwestern University; ByteDance Inc.
Conference: iclr 2024 (main track)
Keywords: multiagent debate;large language models;inter-model communication;embedding representation
Decision: Poster
Title: Large Language Models Are Not Robust Multiple Choice Selectors
Authors: Chujie Zheng, Hao Zhou, Fandong Meng, Jie Zhou, Minlie Huang
Affiliations: Pattern Recognition Center, WeChat AI, Tencent Inc., China; The CoAI Group, DCST, BNRist, Tsinghua University, Beijing 100084, China
Conference: iclr 2024 (main track)
Keywords: large language model;bias;robustness;multiple choice question;evaluation
Decision: Spotlight
Title: Probabilistic Self-supervised Representation Learning via Scoring Rules Minimization
Authors: Amirhossein Vahidi, Simon Schosser, Lisa Wimmer, Yawei Li, Bernd Bischl, Eyke Hüllermeier, Mina Rezaei
Affiliations: Munich Center for Machine Learning, Munich, Germany; Institute of Informatics LMU Munich, Munich, Germany; Department of Statistics LMU Munich, Munich, Germany; Department of Statistics LMU Munich, Munich, Germany; Munich Center for Machine Learning, Munich, Germany; Department of Statistics LMU Munich, Munich, Germany; Wellcome Sanger Institute, Cambridge, UK
Conference: iclr 2024 (main track)
Keywords: Self-supervised Learning;Probablistic Machine Learning;Proper Scoring Rule
Decision: Poster
Title: How connectivity structure shapes rich and lazy learning in neural circuits
Authors: Yuhan Helena Liu, Aristide Baratin, Jonathan Cornford, Stefan Mihalas, Eric SheaBrown, Guillaume Lajoie
Affiliations: Samsung - SAIT AI Lab, Montreal, QC, Canada; Mila - Quebec AI Institute, Montreal, QC, Canada; Canada CIFAR AI Chair, CIFAR, Toronto, ON, Canada; Université de Montréal, Montreal, QC, Canada; University of Washington, Seattle, WA, USA; Allen Institute for Brain Science, Seattle WA, USA; Mila - Quebec AI Institute, Montreal, QC, Canada; McGill University, Montreal, QC, Canada
Conference: iclr 2024 (main track)
Keywords: Computational neuroscience;recurrent neural networks;learning;connectivity structure;inductive bias;rich and lazy learning;deep learning theory;neural representations
Decision: Poster
Title: LRM: Large Reconstruction Model for Single Image to 3D
Authors: Yicong Hong, Kai Zhang, Jiuxiang Gu, Sai Bi, Yang Zhou, Difan Liu, Feng Liu, Kalyan Sunkavalli, Trung Bui, Hao Tan
Affiliations: Adobe Research
Conference: iclr 2024 (main track)
Keywords: 3D Reconstruction;Large-Scale Training;Transformers
Decision: Oral
Title: Energy-conserving equivariant GNN for elasticity of lattice architected metamaterials
Authors: Ivan Grega, Ilyes Batatia, Gábor Csányi, Sri Karlapati, Vikram Deshpande
Affiliations: Department of Engineering, University of Cambridge; Department of Engineering, University of Cambridge; Amazon Science
Conference: iclr 2024 (main track)
Keywords: mechanical metamaterials;lattices;elasticity;GNN;equivariant;positive definite;energy conservation
Decision: Poster
Title: Whole-Song Hierarchical Generation of Symbolic Music Using Cascaded Diffusion Models
Authors: Ziyu Wang, Lejun Min, Gus Xia
Affiliations: Machine Learning Department, MBZUAI; Computer Science Department, NYU Shanghai
Conference: iclr 2024 (main track)
Keywords: Cascaded generative models;Diffusion models;Symbolic Music Generation
Decision: Spotlight
Title: Measuring Vision-Language STEM Skills of Neural Models
Authors: Jianhao Shen, Ye Yuan, Srbuhi Mirzoyan, Ming Zhang, Chenguang Wang
Affiliations: Washington University in St. Louis; School of Computer Science, Peking University; National Key Laboratory for Multimedia Information Processing, Peking University; Peking University-Anker Embodied AI Lab
Conference: iclr 2024 (main track)
Keywords: Benchmark;STEM;Multimodal;Vision-language models;Language models
Decision: Poster
Title: VFLAIR: A Research Library and Benchmark for Vertical Federated Learning
Authors: TIANYUAN ZOU, Zixuan GU, Yu He, Hideaki Takahashi, Yang Liu, Ya-Qin Zhang
Affiliations: Institute for AI Industry Research, Tsinghua University, Beijing, China; College of Arts and Sciences, The University of Tokyo, Tokyo, Japan; School of Computer Science, Fudan University, Shanghai, China; Shanghai Artificial Intelligence Laboratory, China; Weiyang College, Tsinghua University, Beijing, China
Conference: iclr 2024 (main track)
Keywords: VFL;Attacks and Defenses;Benchmark;Platform
Decision: Poster
Title: BatteryML: An Open-source Platform for Machine Learning on Battery Degradation
Authors: Han Zhang, Xiaofan Gui, Shun Zheng, Ziheng Lu, Yuqi Li, Jiang Bian
Affiliations: Department of Materials Science and Engineering, Stanford University; Institute for Interdisciplinary Information Sciences, Tsinghua University; Microsoft Research
Conference: iclr 2024 (main track)
Keywords: BatteryML;Battery life prediction;Machine learning;Open-source platform;Unified standards;Collaborative research
Decision: Spotlight
Title: Tailoring Self-Rationalizers with Multi-Reward Distillation
Authors: Sahana Ramnath, Brihi Joshi, Skyler Hallinan, Ximing Lu, Liunian Li, Aaron Chan, Jack Hessel, Yejin Choi, Xiang Ren
Affiliations: University of Washington, Allen Institute for Artificial Intelligence; University of Washington; University of Southern California; University of California Los Angeles; University of Southern California, Allen Institute for Artificial Intelligence; Allen Institute for Artificial Intelligence
Conference: iclr 2024 (main track)
Keywords: large language models;rationalization;explanation generation;explainability;rationale generation
Decision: Poster
Title: How Realistic Is Your Synthetic Data? Constraining Deep Generative Models for Tabular Data
Authors: Mihaela Stoian, Salijona Dyrmishi, Maxime Cordy, Thomas Lukasiewicz, Eleonora Giunchiglia
Affiliations: Vienna University of Technology; University of Luxembourg; University of Oxford
Conference: iclr 2024 (main track)
Keywords: Synthetic Data Generation
Decision: Poster
Title: Partitioning Message Passing for Graph Fraud Detection
Authors: Wei Zhuo, Zemin Liu, Bryan Hooi, Bingsheng He, Guang Tan, Rizal Fathony, Jia Chen
Affiliations: National University of Singapore; Shenzhen Campus of Sun Yat-sen University; GrabTaxi Holdings Pte. Ltd.
Conference: iclr 2024 (main track)
Keywords: Graph Neural Networks;Fraud Detection
Decision: Poster
Title: Reasoning with Latent Diffusion in Offline Reinforcement Learning
Authors: Siddarth Venkatraman, Shivesh Khaitan, Ravi Tej Akella, John Dolan, Jeff Schneider, Glen Berseth
Affiliations: Mila, Université de Montréal; Carnegie Mellon University
Conference: iclr 2024 (main track)
Keywords: Reinforcement Learning;Diffusion Models
Decision: Poster
Title: Generalization of Scaled Deep ResNets in the Mean-Field Regime
Authors: Yihang Chen, Fanghui Liu, Yiping Lu, Grigorios Chrysos, Volkan Cevher
Affiliations: New York University; EPFL; University of Wisconsin-Madison; University of Warwick
Conference: iclr 2024 (main track)
Keywords: ResNet;mean field;generalization;Rademacher complexity
Decision: Spotlight