hunoutl/paperlists huggingface dataset:
Title: Prediction without Preclusion: Recourse Verification with Reachable Sets
Authors: Avni Kothari, Bogdan Kulynych, Tsui-Wei Weng, Berk Ustun
Affiliations: EPFL; UCSD; UCSF
Conference: iclr 2024 (main track)
Keywords: algorithmic recourse;fairness;robustness;consumer finance;integer programming;trustworthy AI
Decision: Spotlight
Title: Mask-Based Modeling for Neural Radiance Fields
Authors: Ganlin Yang, Guoqiang Wei, Zhizheng Zhang, Yan Lu, Dong Liu
Affiliations: Microsoft Research Asia; University of Science and Technology of China; ByteDance Research
Conference: iclr 2024 (main track)
Keywords: NeRF;Pretraining;Mask-Based Modeling
Decision: Spotlight
Title: Label-Agnostic Forgetting: A Supervision-Free Unlearning in Deep Models
Authors: Shaofei Shen, Chenhao Zhang, Yawen Zhao, Alina Bialkowski, Weitong Chen, Miao Xu
Affiliations: University of Adelaide; University of Queensland
Conference: iclr 2024 (main track)
Keywords: Machine Unlearning;Unsupervised Learning;Deep Learning
Decision: Poster
Title: Interventional Fairness on Partially Known Causal Graphs: A Constrained Optimization Approach
Authors: Aoqi Zuo, yiqing li, Susan Wei, Mingming Gong
Affiliations: School of Mathematics and Statistics, The University of Melbourne; School of Data Science, Fudan University; Mohamed bin Zayed University of Artificial Intelligence
Conference: iclr 2024 (main track)
Keywords: trustworthy machine learning;causal inference;fairness
Decision: Poster
Title: Rethinking the symmetry-preserving circuits for constrained variational quantum algorithms
Authors: Ge Yan, Hongxu Chen, Kaisen Pan, Junchi Yan
Affiliations: Department of Computer Science and Engineering, Shanghai Jiao Tong University
Conference: iclr 2024 (main track)
Keywords: variational quantum algorithm;quantum machine learning;symmetry-preserving circuit
Decision: Poster
Title: Neuron Activation Coverage: Rethinking Out-of-distribution Detection and Generalization
Authors: Yibing Liu, Chris Xing TIAN, Haoliang Li, Lei Ma, Shiqi Wang
Affiliations: The University of Tokyo, University of Alberta; City University of Hong Kong
Conference: iclr 2024 (main track)
Keywords: Out-of-distribution;Generalization;Neuron Activation
Decision: Spotlight
Title: The Devil is in the Neurons: Interpreting and Mitigating Social Biases in Language Models
Authors: Yan Liu, Yu Liu, Xiaokang Chen, Pin-Yu Chen, Daoguang Zan, Min-Yen Kan, Tsung-Yi Ho
Affiliations: Peking University; IBM Research; Chinese University of Hong Kong; National University of Singapore; Microsoft Research
Conference: iclr 2024 (main track)
Keywords: Interpretable social bias
Decision: Poster
Title: Social-Transmotion: Promptable Human Trajectory Prediction
Authors: Saeed Saadatnejad, Yang Gao, Kaouther Messaoud, Alexandre Alahi
Affiliations: Visual Intelligence for Transportation (VITA) laboratory, EPFL, Switzerland
Conference: iclr 2024 (main track)
Keywords: human trajectory prediction;robot navigation;autonomous driving;attention mechanism
Decision: Poster
Title: CABINET: Content Relevance-based Noise Reduction for Table Question Answering
Authors: Sohan Patnaik, Heril Changwal, Milan Aggarwal, Sumit Bhatia, Yaman Singla, Balaji Krishnamurthy
Affiliations: IIT Roorkee; MDSR Lab, Adobe; IIT Kharagpur; MDSR Lab, Adobe
Conference: iclr 2024 (main track)
Keywords: Table Question Answering;Large Language Models;Noise Reduction;Unsupervised Relevance Scoring;Table Parsing;Relevant Cell Highlighting
Decision: Spotlight
Title: When can transformers reason with abstract symbols?
Authors: Enric Boix-Adserà, Omid Saremi, Emmanuel Abbe, Samy Bengio, Etai Littwin, Joshua Susskind
Affiliations: Apple, EPFL; Apple; Apple, MIT
Conference: iclr 2024 (main track)
Keywords: transformers;language models;reasoning;theoretical analysis;variable binding
Decision: Poster
Title: VCR-Graphormer: A Mini-batch Graph Transformer via Virtual Connections
Authors: Dongqi Fu, Zhigang Hua, Yan Xie, Jin Fang, Si Zhang, Kaan Sancak, Hao Wu, Andrey Malevich, Jingrui He, Bo Long
Affiliations: Meta AI; University of Illinois Urbana-Champaign; Georgia Institute of Technology
Conference: iclr 2024 (main track)
Keywords: Graph Representation Learning;Graph Transformer
Decision: Poster
Title: OWL: A Large Language Model for IT Operations
Authors: Hongcheng Guo, Jian Yang, Jiaheng Liu, Liqun Yang, Linzheng Chai, Jiaqi Bai, Junran Peng, Xiaorong Hu, Chao Chen, Dongfeng Zhang, xu Shi, Tieqiao Zheng, liangfan zheng, Bo Zhang, Ke Xu, Zhoujun Li
Affiliations: Cloudwise Research; State Key Lab of Software Development Environment, Beihang University
Conference: iclr 2024 (main track)
Keywords: Large language model;IT operations;AIOps
Decision: Poster
Title: Efficient local linearity regularization to overcome catastrophic overfitting
Authors: Elias Abad Rocamora, Fanghui Liu, Grigorios Chrysos, Pablo M. Olmos, Volkan Cevher
Affiliations: University of Wisconsin-Madison; Universidad Carlos III de Madrid; LIONS - École Polytechnique Fédérale de Lausanne; University of Warwick
Conference: iclr 2024 (main track)
Keywords: Fast Adversarial Training;Catastrophic Overfitting;Local Linearity
Decision: Poster
Title: Horizon-Free Regret for Linear Markov Decision Processes
Authors: Zhang Zihan, Jason Lee, Yuxin Chen, Simon Du
Affiliations: Department of Statistics and Data Science, University of Pennsylvania; Department of Electrical and Computer Engineering, Princeton University; Paul G. Allen School of Computer Science and Engineering, University of Washington
Conference: iclr 2024 (main track)
Keywords: Linear MDP; horizon-free;regret analysis
Decision: Poster
Title: Incremental Randomized Smoothing Certification
Authors: Shubham Dipak Ugare, Tarun Suresh, Debangshu Banerjee, Gagandeep Singh, Sasa Misailovic
Affiliations: University of Illinois Urbana-Champaign; University of Illinois Urbana-Champaign, VMware Research
Conference: iclr 2024 (main track)
Keywords: Robustness;Verification;Certification;Approximation
Decision: Poster
Title: Dropout-Based Rashomon Set Exploration for Efficient Predictive Multiplicity Estimation
Authors: Hsiang Hsu, Guihong Li, Shaohan Hu, Chun-Fu Chen
Affiliations: The University of Texas at Austin, TX, USA; JPMorgan Chase Bank, N.A., USA
Conference: iclr 2024 (main track)
Keywords: Rashomon Effect;Rashomon Set;Predictive Multiplicity;Dropout;Speedup.
Decision: Poster
Title: OpenNeRF: Open Set 3D Neural Scene Segmentation with Pixel-Wise Features and Rendered Novel Views
Authors: Francis Engelmann, Fabian Manhardt, Michael Niemeyer, Keisuke Tateno, Federico Tombari
Affiliations: TU Munich; Google; ETH Zurich; Microsoft
Conference: iclr 2024 (main track)
Keywords: 3D;open set segmentation;neural radiance fields;VLM features
Decision: Poster
Title: Accurate Forgetting for Heterogeneous Federated Continual Learning
Authors: Abudukelimu Wuerkaixi, Sen Cui, Jingfeng Zhang, Kunda Yan, Bo Han, Gang Niu, Lei Fang, Changshui Zhang, Masashi Sugiyama
Conference: iclr 2024 (main track)
Keywords: federated learning;robustness
Decision: Poster
Title: Self-Consuming Generative Models Go MAD
Authors: Sina Alemohammad, Josue Casco-Rodriguez, Lorenzo Luzi, Ahmed Imtiaz Humayun, Hossein Babaei, Daniel LeJeune, Ali Siahkoohi, Richard Baraniuk
Affiliations: Department of Statistics, Stanford University; Department of ECE, Rice University; Department of CMOR, Rice University
Conference: iclr 2024 (main track)
Keywords: Generative Models;Synthetic Data;Sampling Bias;Diffusion Models;GANs
Decision: Poster
Title: R-EDL: Relaxing Nonessential Settings of Evidential Deep Learning
Authors: Mengyuan Chen, Junyu Gao, Changsheng Xu
Affiliations: State Key Laboratory of Multimodal Artificial Intelligence Systems (MAIS), Institute of Automation, Chinese Academy of Sciences (CASIA); School of Artificial Intelligence, University of Chinese Academy of Sciences (UCAS); Peng Cheng Laboratory, ShenZhen, China; State Key Laboratory of Multimodal Artificial Intelligence Systems (MAIS), Institute of Automation, Chinese Academy of Sciences (CASIA); School of Artificial Intelligence, University of Chinese Academy of Sciences (UCAS)
Conference: iclr 2024 (main track)
Keywords: uncertainty quantification;evidential deep learning;subjective logic;single-forward-pass uncertainty method
Decision: Spotlight
Title: Generalized Schrödinger Bridge Matching
Authors: Guan-Horng Liu, Yaron Lipman, Maximilian Nickel, Brian Karrer, Evangelos Theodorou, Ricky T. Q. Chen
Affiliations: Georgia Institute of Technology; Weizmann Institute of Science; FAIR, Meta
Conference: iclr 2024 (main track)
Keywords: Distribution matching;diffusion models;generalized Schrödinger bridge;stochastic optimal control
Decision: Poster
Title: IDEAL: Influence-Driven Selective Annotations Empower In-Context Learners in Large Language Models
Authors: Shaokun Zhang, Xiaobo Xia, Zhaoqing Wang, Ling-Hao Chen, Jiale Liu, Qingyun Wu, Tongliang Liu
Conference: iclr 2024 (main track)
Keywords: in-context learning;large language models;active learning
Decision: Poster
Title: Sliced Wasserstein Estimation with Control Variates
Authors: Khai Nguyen, Nhat Ho
Affiliations: Department of Statistics and Data Sciences, The University of Texas at Austin, Austin, TX 78712, USA
Conference: iclr 2024 (main track)
Keywords: Sliced Wasserstein;Monte Carlo Methods;Point-Cloud;Generative Models;Optimal Transport
Decision: Poster
Title: CRITIC: Large Language Models Can Self-Correct with Tool-Interactive Critiquing
Authors: Zhibin Gou, Zhihong Shao, Yeyun Gong, yelong shen, Yujiu Yang, Nan Duan, Weizhu Chen
Affiliations: Microsoft Research Asia; Microsoft Azure AI; Tsinghua University
Conference: iclr 2024 (main track)
Keywords: Large Language Models;In-context Learning;Self-Verification;Self-Correction;Truthfulness;Tool-use;Interaction
Decision: Poster
Title: Proximal Policy Gradient Arborescence for Quality Diversity Reinforcement Learning
Authors: Sumeet Batra, Bryon Tjanaka, Matthew Fontaine, Aleksei Petrenko, Stefanos Nikolaidis, Gaurav Sukhatme
Affiliations: University of Southern California, Los Angeles, CA 90089
Conference: iclr 2024 (main track)
Keywords: Reinforcement Learning;Quality Diversity;Robotics;Machine Learning;Evolution Strategies
Decision: Spotlight
Title: Harnessing Density Ratios for Online Reinforcement Learning
Authors: Philip Amortila, Dylan Foster, Nan Jiang, Ayush Sekhari, Tengyang Xie
Affiliations: MIT; UIUC; Microsoft Research
Conference: iclr 2024 (main track)
Keywords: reinforcement learning theory;online RL;offline RL;hybrid RL;density ratio;marginalized importance weight;weight function;general function approximation
Decision: Spotlight
Title: Querying Easily Flip-flopped Samples for Deep Active Learning
Authors: Seong Jin Cho, Gwangsu Kim, Junghyun Lee, Jinwoo Shin, Chang Yoo
Affiliations: Department of Electrical Engineering, KAIST; Korea Institute of Oriental Medicine; Department of Statistics, Jeonbuk National University; Department of Electrical Engineering, KAIST; Kim Jaechul Graduate School of AI, KAIST
Conference: iclr 2024 (main track)
Keywords: active learning;uncertainty;closeness;disagree metric;diversity
Decision: Poster
Title: Modulate Your Spectrum in Self-Supervised Learning
Authors: Xi Weng, Yunhao Ni, Tengwei Song, Jie Luo, Rao Anwer, Salman Khan, Fahad Khan, Lei Huang
Affiliations: SKLCCSE, Institute of Artificial Intelligence, Beihang University, Beijing, China; Mohamed bin Zayed University of Artificial Intelligence, UAE
Conference: iclr 2024 (main track)
Keywords: self-supervised learning;whitening;dimensional collapse;spectral transformation;iterative normalization
Decision: Poster
Title: TiC-CLIP: Continual Training of CLIP Models
Authors: Saurabh Garg, Mehrdad Farajtabar, Hadi Pouransari, Raviteja Vemulapalli, Sachin Mehta, Oncel Tuzel, Vaishaal Shankar, Fartash Faghri
Affiliations: Carnegie Mellon University; Apple
Conference: iclr 2024 (main track)
Keywords: CLIP;Continual learning;distribution shift;benchmark
Decision: Poster
Title: Discovering Failure Modes of Text-guided Diffusion Models via Adversarial Search
Authors: Qihao Liu, Adam Kortylewski, Yutong Bai, Song Bai, Alan Yuille
Affiliations: ByteDance Inc.; University of Freiburg; Johns Hopkins University
Conference: iclr 2024 (main track)
Keywords: Text-guided diffusion models;Robustness;Adversarial examiner;Failure detection
Decision: Poster
Title: Feature-aligned N-BEATS with Sinkhorn divergence
Authors: Joonhun Lee, Myeongho Jeon, Myungjoo Kang, Kyunghyun Park
Affiliations: Nanyang Technological University; Seoul National University
Conference: iclr 2024 (main track)
Keywords: Time series forecasting;Deep learning;Domain generalization;Representation learning;Sinkhorn divergence
Decision: Spotlight
Title: Distributionally Robust Optimization with Bias and Variance Reduction
Authors: Ronak Mehta, Vincent Roulet, Krishna Pillutla, Zaid Harchaoui
Affiliations: University of Washington; Google Research; Google DeepMind
Conference: iclr 2024 (main track)
Keywords: stochastic optimization;convex optimization;distributionally robust learning;spectral risk measures;incremental optimization
Decision: Spotlight
Title: Zeroth-Order Optimization Meets Human Feedback: Provable Learning via Ranking Oracles
Authors: Zhiwei Tang, Dmitry Rybin, Tsung-Hui Chang
Affiliations: School of Data Science, The Chinese University of Hong Kong, Shenzhen, China; School of Science and Engineering, The Chinese University of Hong Kong, Shenzhen, China; Shenzhen Research Institute of Big Data, Shenzhen, China
Conference: iclr 2024 (main track)
Keywords: Learng from human feedback;zeroth-order optimization;Stable Diffusion;ranking and preferences
Decision: Poster
Title: Towards Seamless Adaptation of Pre-trained Models for Visual Place Recognition
Authors: Feng Lu, Lijun Zhang, Xiangyuan Lan, Shuting Dong, Yaowei Wang, Chun Yuan
Affiliations: University of Chinese Academy of Sciences; Tsinghua Shenzhen International Graduate School, Tsinghua University; Peng Cheng Laboratory
Conference: iclr 2024 (main track)
Keywords: Visual Place Recognition;Parameter-efficient Transfer Learning;Global Adaptation;Local Adaptation
Decision: Poster
Title: Enhancing Human-AI Collaboration Through Logic-Guided Reasoning
Authors: Chengzhi Cao, Yinghao Fu, Sheng Xu, Ruimao Zhang, Shuang Li
Affiliations: The Chinese University of Hong Kong (Shenzhen); University of Science and Technology of China; The Chinese University of Hong Kong (Shenzhen)
Conference: iclr 2024 (main track)
Keywords: Logic rule;human-robot interaction and collaboration
Decision: Poster
Title: Learning Semantic Proxies from Visual Prompts for Parameter-Efficient Fine-Tuning in Deep Metric Learning
Authors: Li Ren, Chen Chen, Liqiang Wang, Kien Hua
Affiliations: Department of Computer Science, Center for Research in Computer Vision, University of Central Florida, USA; Department of Computer Science, University of Central Florida, USA
Conference: iclr 2024 (main track)
Keywords: metric learning;image retrieval;parameter-efficient fine tuning
Decision: Poster
Title: Momentum Benefits Non-iid Federated Learning Simply and Provably
Authors: Ziheng Cheng, Xinmeng Huang, Pengfei Wu, Kun Yuan
Affiliations: Peking University; Peking University, National Engineering Labratory for Big Data Analytics and Applications, and AI for Science Institute, Beijing, China; University of Pennsylvania
Conference: iclr 2024 (main track)
Keywords: federated learning;momentum;data heterogeneity;non-convex optimization
Decision: Poster
Title: DoLa: Decoding by Contrasting Layers Improves Factuality in Large Language Models
Authors: Yung-Sung Chuang, Yujia Xie, Hongyin Luo, Yoon Kim, James R Glass, Pengcheng He
Affiliations: Massachusetts Institute of Technology; Microsoft
Conference: iclr 2024 (main track)
Keywords: Large Language Models;Hallucination;Factuality;Decoding;Text Generation
Decision: Poster
Title: Waxing-and-Waning: a Generic Similarity-based Framework for Efficient Self-Supervised Learning
Authors: Sheng Li, Chao Wu, Ao Li, Yanzhi Wang, Xulong Tang, Geng Yuan
Affiliations: University of Arizona; University of Pittsburgh; University of Georgia; Northeastern University
Conference: iclr 2024 (main track)
Keywords: Self-supervised learning;efficient training;image similarity
Decision: Poster
Title: Probabilistically Rewired Message-Passing Neural Networks
Authors: Chendi Qian, Andrei Manolache, Kareem Ahmed, Zhe Zeng, Guy Van den Broeck, Mathias Niepert, Christopher Morris
Affiliations: Computer Science Department, RWTH Aachen University, Germany; Computer Science Department, University of Stuttgart, Germany; Bitdefender, Romania; Computer Science Department, University of Stuttgart, Germany; Computer Science Department, University of California, Los Angeles, USA
Conference: iclr 2024 (main track)
Keywords: GNN;MPNN;graph;rewiring;probabilistic;weisfeiler;leman;lehman;k-subset;sampling;expressivity
Decision: Poster
Title: Learning Hierarchical World Models with Adaptive Temporal Abstractions from Discrete Latent Dynamics
Authors: Christian Gumbsch, Noor Sajid, Georg Martius, Martin V. Butz
Affiliations: Neuro-Cognitive Modeling, University of Tübingen, Tübingen, Germany; Autonomous Learning, Max Planck Institute for Intelligent Systems, Tübingen, Germany; Wellcome Centre for Human Neuroimaging, University College London, London, U.K.
Conference: iclr 2024 (main track)
Keywords: world models;temporal abstraction;hierarchical learning;model-based reinforcement learning;hierarchical planning
Decision: Spotlight
Title: Doubly Robust Proximal Causal Learning for Continuous Treatments
Authors: Yong Wu, Yanwei Fu, Shouyan Wang, Xinwei Sun
Affiliations: Zhangjiang Fudan International Innovation Center; School of Data Science, Fudan University; Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University
Conference: iclr 2024 (main track)
Keywords: causal effect;continuous treatment;kernel function;doubly robust
Decision: Poster
Title: NOLA: Compressing LoRA using Linear Combination of Random Basis
Authors: Soroush Abbasi Koohpayegani, K L Navaneet, Parsa Nooralinejad, Soheil Kolouri, Hamed Pirsiavash
Affiliations: Vanderbilt University; University of California, Davis
Conference: iclr 2024 (main track)
Keywords: computer vision;natural language processing;natural language generation;Generative AI;GPT;large language models;LoRA;adaptation;PEFT;Transfer Learning;Transformers;ViT;LLaMA
Decision: Poster
Title: Understanding and Mitigating the Label Noise in Pre-training on Downstream Tasks
Authors: Hao Chen, Jindong Wang, Ankit Parag Shah, Ran Tao, Hongxin Wei, Xing Xie, Masashi Sugiyama, Bhiksha Raj
Affiliations: Microsoft Research Asia; RIKEN AIP, The University of Tokyo; Carnegie Mellon University; SusTech; Carnegie Mellon University, Mohamed bin Zayed University of AI
Conference: iclr 2024 (main track)
Keywords: Pre training;Noisy model learning;Label noise;Noise mitigation
Decision: Spotlight
Title: Mol-Instructions: A Large-Scale Biomolecular Instruction Dataset for Large Language Models
Authors: Yin Fang, Xiaozhuan Liang, Ningyu Zhang, Kangwei Liu, Rui Huang, Zhuo Chen, Xiaohui Fan, Huajun Chen
Affiliations: ZJU-Ant Group Joint Research Center for Knowledge Graphs, Zhejiang University; College of Computer Science and Technology, Zhejiang University; ZJU-Hangzhou Global Scientific and Technological Innovation Center, Zhejiang University
Conference: iclr 2024 (main track)
Keywords: instruction dataset;large language models;biomolecular studies;molecule;protein
Decision: Poster
Title: Generative Adversarial Equilibrium Solvers
Authors: Denizalp Goktas, David Parkes, Ian Gemp, Luke Marris, Georgios Piliouras, Romuald Elie, Guy Lever, Andrea Tacchetti
Affiliations: Google DeepMind; Brown University; Google DeepMind, School of Engineering and Applied Sciences, Harvard University
Conference: iclr 2024 (main track)
Keywords: Game Theory;Amortized Optimization;Generalized Nash equilibrium;Economics
Decision: Poster
Title: Meta Continual Learning Revisited: Implicitly Enhancing Online Hessian Approximation via Variance Reduction
Authors: Yichen Wu, Long-Kai Huang, Renzhen Wang, Deyu Meng, Ying Wei
Affiliations: City University of Hong Kong, Nanyang Technological University; Xi’an Jiaotong University; Xi’an Jiaotong University, Pazhou Laboratory (Huangpu); City University of Hong Kong, Tencent AI Lab; Tencent AI Lab
Conference: iclr 2024 (main track)
Keywords: Continual Learning
Decision: Oral
Title: GeoLLM: Extracting Geospatial Knowledge from Large Language Models
Authors: Rohin Manvi, Samar Khanna, Gengchen Mai, Marshall Burke, David Lobell, Stefano Ermon
Affiliations: Stanford University; University of Georgia
Conference: iclr 2024 (main track)
Keywords: geospatial;knowledge extraction;large language models;pre-trained language models;natural language processing
Decision: Poster
Title: LILO: Learning Interpretable Libraries by Compressing and Documenting Code
Authors: Gabriel Grand, Lio Wong, Maddy Bowers, Theo X. Olausson, Muxin Liu, Joshua B Tenenbaum, Jacob Andreas
Affiliations: MIT CSAIL and MIT Brain and Cognitive Sciences; MIT CSAIL; Harvey Mudd College; MIT Brain and Cognitive Sciences
Conference: iclr 2024 (main track)
Keywords: program synthesis;language models;library learning;compression;refactoring;abstraction;documentation;neurosymbolic
Decision: Poster
Title: Plug-and-Play: An Efficient Post-training Pruning Method for Large Language Models
Authors: Yingtao Zhang, Haoli Bai, Jialin Zhao, Haokun Lin, LU HOU, Carlo Vittorio Cannistraci
Affiliations: Huawei Noah’s Ark Lab; Institute of Automation, Chinese Academy of Sciences; Center for Complex Network Intelligence, Tsinghua Laboratory of Brain and Intelligence; Department of Computer Science, Tsinghua University; Center for Complex Network Intelligence, Tsinghua Laboratory of Brain and Intelligence; Department of Computer Science, Tsinghua University; Department of Biomedical Engineering, Tsinghua University
Conference: iclr 2024 (main track)
Keywords: Post-Training Pruning;Combinatorial Optimization;Large Language Models;Inference Acceleration
Decision: Poster
Title: Large Content And Behavior Models To Understand, Simulate, And Optimize Content And Behavior
Authors: Ashmit Khandelwal, Aditya Agrawal, Aanisha Bhattacharyya, Yaman Singla, Somesh Singh, Uttaran Bhattacharya, Ishita Dasgupta, Stefano Petrangeli, Rajiv Ratn Shah, Changyou Chen, Balaji Krishnamurthy
Affiliations: IIIT-Delhi; State University of New York at Buffalo; Adobe; BITS, Pilani
Conference: iclr 2024 (main track)
Keywords: large language models;behavior simulation;large content and behavior models;behavior understanding;behavior in the wild;computational marketing;computational behavior science
Decision: Spotlight
Title: Training Bayesian Neural Networks with Sparse Subspace Variational Inference
Authors: Junbo Li, Zichen Miao, Qiang Qiu, Ruqi Zhang
Affiliations: Department of Computer Science, Purdue University, West Lafayette, IN 47907, USA; School of Electrical and Computer Engineering, Purdue University, West Lafayette, IN 47907, USA
Conference: iclr 2024 (main track)
Keywords: Bayesian neural networks;sparse Bayesian learning;variational inference
Decision: Poster
Title: TEST: Text Prototype Aligned Embedding to Activate LLM's Ability for Time Series
Authors: Chenxi Sun, Hongyan Li, Yaliang Li, Shenda Hong
Affiliations: Alibaba Group; National Institute of Health Data Science, Peking University; Institute of Medical Technology, Health Science Center of Peking University; National Key Laboratory of General Artificial Intelligence, Peking University; Key Laboratory of Machine Perception (Ministry of Education), Peking University; School of Intelligence Science and Technology, Peking University; PKU-WUHAN Institute for Artificial Intelligence; National Key Laboratory of General Artificial Intelligence, Peking University; Key Laboratory of Machine Perception (Ministry of Education), Peking University; School of Intelligence Science and Technology, Peking University
Conference: iclr 2024 (main track)
Keywords: Time Series;Embedding;LLM
Decision: Poster