hunoutl/paperlists huggingface dataset:
Title: On the Scalability and Memory Efficiency of Semidefinite Programs for Lipschitz Constant Estimation of Neural Networks
Authors: Zi Wang, Aaron Havens, Alexandre Araujo, Yang Zheng, Bin Hu, Yudong Chen, Somesh Jha
Affiliations: CSL & ECE, University of Illinois Urbana-Champaign; Department of Computer Sciences, University of Wisconsin-Madison; ECE, University of California San Diego; ECE, New York University
Conference: iclr 2024 (main track)
Keywords: Semidefinite programming;Lipschitz constant;Deep learning
Decision: Poster
Title: DiffusionNAG: Predictor-guided Neural Architecture Generation with Diffusion Models
Authors: Sohyun An, Hayeon Lee, Jaehyeong Jo, Seanie Lee, Sung Ju Hwang
Affiliations: KAIST; KAIST, DeepAuto.ai
Conference: iclr 2024 (main track)
Keywords: Neural Architecture Search;Diffusion Model;Meta Learning
Decision: Poster
Title: Initializing Models with Larger Ones
Authors: Zhiqiu Xu, Yanjie Chen, Kirill Vishniakov, Yida Yin, Zhiqiang Shen, trevor darrell, Lingjie Liu, Zhuang Liu
Conference: iclr 2024 (main track)
Keywords: Deep Learning;Neural Networks;Weight Initialization;Small Models;Computer Vision
Decision: Spotlight
Title: Symmetric Single Index Learning
Authors: Aaron Zweig, Joan Bruna
Affiliations: Courant Institute of Mathematical Sciences, New York University, New York, NY 10012, USA; Courant Institute of Mathematical Sciences, Center for Data Science, New York University, New York, NY 10012, USA
Conference: iclr 2024 (main track)
Keywords: single-index;symmetric;permutation invariant;gradient flow;learning
Decision: Poster
Title: ArchLock: Locking DNN Transferability at the Architecture Level with a Zero-Cost Binary Predictor
Authors: Tong Zhou, Shaolei Ren, Xiaolin Xu
Affiliations: UC Riverside, Riverside, CA, USA; Northeastern University, Boston, MA, USA
Conference: iclr 2024 (main track)
Keywords: Defense; DNN Transferability; Neural Architecture Search
Decision: Poster
Title: The Unreasonable Effectiveness of Linear Prediction as a Perceptual Metric
Authors: Daniel Severo, Lucas Theis, Johannes Ballé
Affiliations: Google Deepmind; University of Toronto, Vector Institute for A.I.; Google Research
Conference: iclr 2024 (main track)
Keywords: perceptual metrics;lpips;perceptual embeddings;representation learning;self-supervised learning;FR-IQA;image quality assessment;compression;data-free;ssim;bapps;2afc;jnd
Decision: Poster
Title: PixArt-$\alpha$: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis
Authors: Junsong Chen, Jincheng YU, Chongjian GE, Lewei Yao, Enze Xie, Zhongdao Wang, James Kwok, Ping Luo, Huchuan Lu, Zhenguo Li
Affiliations: Huawei Noah’s Ark Lab; Huawei Noah’s Ark Lab, HKU; HKU; Huawei Noah’s Ark Lab, HKUST; Huawei Noah’s Ark Lab, Dalian University of Technology; Dalian University of Technology; HKUST
Conference: iclr 2024 (main track)
Keywords: Text-to-Image Diffusion;Transformer
Decision: Spotlight
Title: PORF: POSE RESIDUAL FIELD FOR ACCURATE NEURAL SURFACE RECONSTRUCTION
Authors: Jia-Wang Bian, Wenjing Bian, Victor Prisacariu, Philip Torr
Affiliations: Department of Engineering Science, University of Oxford
Conference: iclr 2024 (main track)
Keywords: Neural Surface Reconstruction;Camera Pose Estimation;Neural Radiance Field
Decision: Poster
Title: Merge, Then Compress: Demystify Efficient SMoE with Hints from Its Routing Policy
Authors: Pingzhi Li, Zhenyu Zhang, Prateek Yadav, Yi-Lin Sung, Yu Cheng, Mohit Bansal, Tianlong Chen
Affiliations: The University of North Carolina at Chapel Hill; The University of Texas at Austin; The Chinese University of Hong Kong; MIT, Harvard University, The University of North Carolina at Chapel Hill
Conference: iclr 2024 (main track)
Keywords: Sparse Mixture-of-Experts;Efficiency;Merging;Compression
Decision: Spotlight
Title: DIFFTACTILE: A Physics-based Differentiable Tactile Simulator for Contact-rich Robotic Manipulation
Authors: Zilin Si, Gu Zhang, Qingwei Ben, Branden Romero, Zhou Xian, Chao Liu, Chuang Gan
Conference: iclr 2024 (main track)
Keywords: Tactile sensing;Simulation;Robotic manipulation
Decision: Poster
Title: Combinatorial Bandits for Maximum Value Reward Function under Value-Index Feedback
Authors: Yiliu Wang, Milan Vojnovic, Wei Chen
Affiliations: Microsoft Research, Beijing, China; Allen Institute, Seattle, WA 98109, USA; Department of Statistics, LSE, London, United Kingdom
Conference: iclr 2024 (main track)
Keywords: Combinatorial multi-armed bandit;$k$-MAX bandit;value-index feedback;maximum reward function
Decision: Poster
Title: On Trajectory Augmentations for Off-Policy Evaluation
Authors: Ge Gao, Qitong Gao, Xi Yang, Song Ju, Miroslav Pajic, Min Chi
Affiliations: North Carolina State University, USA; Duke University, USA; IBM Research, USA
Conference: iclr 2024 (main track)
Keywords: Trajectory augmentation;Off-policy evaluation;Sub-trajectory mining from offline dataset
Decision: Poster
Title: Unknown Domain Inconsistency Minimization for Domain Generalization
Authors: Seungjae Shin, HeeSun Bae, Byeonghu Na, Yoon-Yeong, Il-chul Moon
Affiliations: Department of Industrial and Systems Engineering, KAIST; Department of Statistics, University of Seoul, summary.ai; Department of Industrial and Systems Engineering, KAIST, summary.ai
Conference: iclr 2024 (main track)
Keywords: Robustness;Domain generalization;Sharpness-Aware Minimization;Loss Sharpness;Inconsistency
Decision: Poster
Title: Neural Fourier Transform: A General Approach to Equivariant Representation Learning
Authors: Masanori Koyama, Kenji Fukumizu, Kohei Hayashi, Takeru Miyato
Affiliations: Preferred Networks, Inc.; The Institute of Statistical Mathematics; University of Tübingen
Conference: iclr 2024 (main track)
Keywords: Fourier transform;equivariance;harmonic analysis;representation learning
Decision: Poster
Title: Diffusion in Diffusion: Cyclic One-Way Diffusion for Text-Vision-Conditioned Generation
Authors: Ruoyu Wang, Yongqi Yang, Zhihao Qian, Ye Zhu, Yu Wu
Affiliations: School of Computer Science, Wuhan University; Department of Computer Science, Princeton University
Conference: iclr 2024 (main track)
Keywords: Diffusion Models；text-vision Condition；
Decision: Poster
Title: SaNN: Simple Yet Powerful Simplicial-aware Neural Networks
Authors: Sravanthi Gurugubelli, Sundeep Prabhakar Chepuri
Affiliations: Indian Institute of Science, Bangalore, Karnataka, India
Conference: iclr 2024 (main track)
Keywords: Graph Neural Networks;Higher-order Representation Learning;Simplicial Complexes;Simplicial Neural Networks;Weisfeiler-Lehman Isomorphism Test
Decision: Spotlight
Title: Generative Modeling of Regular and Irregular Time Series Data via Koopman VAEs
Authors: Ilan Naiman, N. Benjamin Erichson, Pu Ren, Michael W Mahoney, Omri Azencot
Affiliations: LBNL and ICSI; LBNL; Ben-Gurion University; Ben-Gurion University, UC Berkeley; ICSI, LBNL, and UC Berkeley
Conference: iclr 2024 (main track)
Keywords: Time Series Generation;Koopman Theory; Variational Autoencoder; Generative Modeling
Decision: Poster
Title: G$^2$N$^2$ : Weisfeiler and Lehman go grammatical
Authors: Jason Piquenot, Aldo Moscatelli, Maxime Berar, Pierre Héroux, Romain Raveaux, Jean-Yves RAMEL, Sébastien Adam
Affiliations: LIFAT Lab, University of Tours, France; LITIS Lab, University of Rouen Normandy, France
Conference: iclr 2024 (main track)
Keywords: Machine learning;GNN;Graph Learning
Decision: Poster
Title: Enhancing Neural Subset Selection: Integrating Background Information into Set Representations
Authors: Binghui Xie, Yatao Bian, Kaiwen Zhou, Yongqiang Chen, Peilin Zhao, Bo Han, Wei Meng, James Cheng
Affiliations: Hong Kong Baptist University; Tencent AI Lab; The Chinese University of Hong Kong
Conference: iclr 2024 (main track)
Keywords: Neural Set Function;Hierarchical Structure;Invariance;Subset Selection
Decision: Poster
Title: Multimodal Web Navigation with Instruction-Finetuned Foundation Models
Authors: Hiroki Furuta, Kuang-Huei Lee, Ofir Nachum, Yutaka Matsuo, Aleksandra Faust, Shixiang Gu, Izzeddin Gur
Affiliations: Google DeepMind; The University of Tokyo
Conference: iclr 2024 (main track)
Keywords: Web Navigation;Foundation Models;Large Language Models;Instruction Finetuning;Decision Making;Multimodal Document Understanding
Decision: Poster
Title: SAN: Inducing Metrizability of GAN with Discriminative Normalized Linear Layer
Authors: Yuhta Takida, Masaaki Imaizumi, Takashi Shibuya, Chieh-Hsin Lai, Toshimitsu Uesaka, Naoki Murata, Yuki Mitsufuji
Affiliations: Sony AI, Sony Group Corporation; The University of Tokyo; Sony AI
Conference: iclr 2024 (main track)
Keywords: Generative adversarial network;optimal transport;sliced Wasserstein distance
Decision: Poster
Title: Understanding In-Context Learning in Transformers and LLMs by Learning to Learn Discrete Functions
Authors: Satwik Bhattamishra, Arkil Patel, Phil Blunsom, Varun Kanade
Affiliations: Mila and McGill University; University of Oxford
Conference: iclr 2024 (main track)
Keywords: In-context learning;Transformers;Large language models;Boolean functions
Decision: Oral
Title: Fully Hyperbolic Convolutional Neural Networks for Computer Vision
Authors: Ahmad Bdeir, Kristian Schwethelm, Niels Landwehr
Affiliations: Chair for Artificial Intelligence in Medicine, Technical University of Munich; Data Science Department, University of Hildesheim
Conference: iclr 2024 (main track)
Keywords: hyperbolic neural networks;hyperbolic image embedding;hyperbolic vision models. hyperboloid representation
Decision: Poster
Title: Consistency Training with Learnable Data Augmentation for Graph Anomaly Detection with Limited Supervision
Authors: Nan Chen, Zemin Liu, Bryan Hooi, Bingsheng He, Rizal Fathony, Jun Hu, Jia Chen
Affiliations: National University of Singapore; GrabTaxi Holdings Pte. Ltd.
Conference: iclr 2024 (main track)
Keywords: Graph anomaly detection;consistency training;learnable data augmentation
Decision: Spotlight
Title: Consciousness-Inspired Spatio-Temporal Abstractions for Better Generalization in Reinforcement Learning
Authors: Mingde Zhao, Safa Alver, Harm Seijen, Romain Laroche, Doina Precup, Yoshua Bengio
Affiliations: ; McGill University, Mila; Sony AI; McGill University, Mila, Google DeepMind; Université de Montréal, Mila
Conference: iclr 2024 (main track)
Keywords: Reinforcement Learning;Planning;Neural Networks;Temporal Difference Learning;Generalization;Deep Reinforcement Learning
Decision: Poster
Title: Towards Energy Efficient Spiking Neural Networks: An Unstructured Pruning Framework
Authors: Xinyu Shi, Jianhao Ding, Zecheng Hao, Zhaofei Yu
Affiliations: School of Computer Science, Peking University; Institute for Artificial Intelligence, Peking University
Conference: iclr 2024 (main track)
Keywords: Spiking Neural Networks;Network Pruning
Decision: Spotlight
Title: Maximum Likelihood Estimation is All You Need for Well-Specified Covariate Shift
Authors: Jiawei Ge, Shange Tang, Jianqing Fan, Cong Ma, Chi Jin
Affiliations: Department of Operations Research and Financial Engineering, Princeton University; Department of Statistics, University of Chicago; Department of Electrical and Computer Engineering, Princeton University
Conference: iclr 2024 (main track)
Keywords: Covariate shift; Maximum Likelihood Estimation; Out-of-Distribution generalization;
Decision: Poster
Title: SweetDreamer: Aligning Geometric Priors in 2D diffusion for Consistent Text-to-3D
Authors: Weiyu LI, Rui Chen, Xuelin Chen, Ping Tan
Affiliations: South China University of Technology, Tencent AI Lab; Hong Kong University of Science and Technology, Light Illusions; Tencent AI Lab
Conference: iclr 2024 (main track)
Keywords: Text-to-3D;diffusion models
Decision: Poster
Title: Sample-Efficiency in Multi-Batch Reinforcement Learning: The Need for Dimension-Dependent Adaptivity
Authors: Emmeran Johnson, Ciara Pike-Burke, Patrick Rebeschini
Affiliations: Department of Mathematics, Imperial College London, United Kingdom; Department of Statistics, University of Oxford, United Kingdom
Conference: iclr 2024 (main track)
Keywords: RL Theory;Low adaptive RL;Linear RL;Multi-Batch RL
Decision: Poster
Title: AnyText: Multilingual Visual Text Generation and Editing
Authors: Yuxiang Tuo, Wangmeng Xiang, Jun-Yan He, Yifeng Geng, Xuansong Xie
Affiliations: Institute for Intelligent Computing, Alibaba Group
Conference: iclr 2024 (main track)
Keywords: diffusion model;text-to-image;text generation
Decision: Spotlight
Title: Convolution Meets LoRA: Parameter Efficient Finetuning for Segment Anything Model
Authors: Zihan Zhong, Zhiqiang Tang, Tong He, Haoyang Fang, Chun Yuan
Affiliations: Amazon Web Services; Tsinghua University
Conference: iclr 2024 (main track)
Keywords: Parameter-efficient fine-tuning;Segment Anything Model;LoRA;Semantic Segmentation
Decision: Poster
Title: LiDAR: Sensing Linear Probing Performance in Joint Embedding SSL Architectures
Authors: Vimal Thilak, Chen Huang, Omid Saremi, Laurent Dinh, Hanlin Goh, Preetum Nakkiran, Joshua Susskind, Etai Littwin
Affiliations: Apple
Conference: iclr 2024 (main track)
Keywords: Self Supervised Learning;Joint Embedding Architectures
Decision: Spotlight
Title: UniAdapter: Unified Parameter-Efficient Transfer Learning for Cross-modal Modeling
Authors: Haoyu Lu, Yuqi Huo, Guoxing Yang, Zhiwu Lu, Wei Zhan, Masayoshi Tomizuka, Mingyu Ding
Affiliations: University of California, Berkeley, United States; Baichuan Inc.; Gaoling School of Artificial Intelligence, Renmin University of China, Beijing, China
Conference: iclr 2024 (main track)
Keywords: parameter-efficient transfer learning;cross-modal modeling
Decision: Poster
Title: Project and Probe: Sample-Efficient Adaptation by Interpolating Orthogonal Features
Authors: Annie Chen, Yoonho Lee, Amrith Setlur, Sergey Levine, Chelsea Finn
Affiliations: Stanford University; Carnegie Mellon University; UC Berkeley
Conference: iclr 2024 (main track)
Keywords: distribution-shift robustness;fine-tuning;adaptation;transfer learning
Decision: Spotlight
Title: DIAGNOSIS: Detecting Unauthorized Data Usages in Text-to-image Diffusion Models
Authors: Zhenting Wang, Chen Chen, Lingjuan Lyu, Dimitris Metaxas, Shiqing Ma
Affiliations: University of Massachusetts Amherst; Sony AI; Rutgers University
Conference: iclr 2024 (main track)
Keywords: Unauthorized Data Usages Detection; Text-to-image Diffusion Models
Decision: Poster
Title: Pre-training LiDAR-based 3D Object Detectors through Colorization
Authors: Tai-Yu Pan, Chenyang Ma, Tianle Chen, Cheng Perng Phoo, Katie Luo, Yurong You, Mark Campbell, Kilian Weinberger, Bharath Hariharan, Wei-Lun Chao
Affiliations: Cornell University, Ithaca, NY; The Ohio State University, Columbus, OH
Conference: iclr 2024 (main track)
Keywords: 3D object detection;LiDAR point cloud;pre-training;autonomous driving;self-supervised learning
Decision: Poster
Title: Magnitude Invariant Parametrizations Improve Hypernetwork Learning
Authors: Jose Javier Gonzalez Ortiz, John Guttag, Adrian Dalca
Affiliations: MIT CSAIL & MGH, HMS, Cambridge, MA, adalca@mit.edu; MIT CSAIL, Cambridge, MA, guttag@mit.edu; MIT CSAIL, Cambridge, MA, josejg@mit.edu
Conference: iclr 2024 (main track)
Keywords: deep learning;hypernetwork;stability;optimization
Decision: Poster
Title: Convergence of Bayesian Bilevel Optimization
Authors: Shi Fu, Fengxiang He, Xinmei Tian, Dacheng Tao
Affiliations: Nanyang Technological University; University of Science and Technology of China; University of Edinburgh
Conference: iclr 2024 (main track)
Keywords: Hyperparameter optimization;Bayesian optimization;Convergence rate;Bilevel optimization;Learning theory
Decision: Spotlight
Title: $\mathcal{B}$-Coder: Value-Based Deep Reinforcement Learning for Program Synthesis
Authors: Zishun Yu, Yunzhe Tao, Liyu Chen, TAO SUN, Hongxia Yang
Affiliations: ByteDance Inc., Seattle, WA 98004; Department of Computer Science, University of Illinois Chicago, Chicago, IL 60607
Conference: iclr 2024 (main track)
Keywords: Program Synthesis;Code Generation;Reinforcement Learning;Value-Based RL
Decision: Spotlight
Title: Unveiling the Pitfalls of Knowledge Editing for Large Language Models
Authors: Zhoubo Li, Ningyu Zhang, Yunzhi Yao, Mengru Wang, Xi Chen, Huajun Chen
Affiliations: College of Computer Science and Technology, Zhejiang University; ZJU-Ant Group Joint Research Center for Knowledge Graphs, Zhejiang University; ZJU-Hangzhou Global Scientific and Technological Innovation Center, Zhejiang University; Tencent; College of Computer Science and Technology, Zhejiang University; ZJU-Ant Group Joint Research Center for Knowledge Graphs, Zhejiang University
Conference: iclr 2024 (main track)
Keywords: model editing;knowledge editing;large language models
Decision: Poster
Title: Align With Purpose: Optimize Desired Properties in CTC Models with a General Plug-and-Play Framework
Authors: Eliya Segev, Maya Alroy, Ronen Katsir, Noam Wies, Ayana Shenhav, Yael Ben-Oren, David Zar, Oren Tadmor, Jacob Bitterman, Amnon Shashua, Tal Rosenwein
Affiliations: Orcam
Conference: iclr 2024 (main track)
Keywords: ASR;CTC;seq2seq;low latency;WER
Decision: Poster
Title: Consistent Multi-Class Classification from Multiple Unlabeled Datasets
Authors: Zixi Wei, Senlin Shu, Yuzhou Cao, Hongxin Wei, Bo An, Lei Feng
Affiliations: Nanyang Technological University; Chongqing University; Skywork AI; Southern University of Science and Technology
Conference: iclr 2024 (main track)
Keywords: mutli-class classification;multiple unlabeled datasets;learning consistency
Decision: Spotlight
Title: AuG-KD: Anchor-Based Mixup Generation for Out-of-Domain Knowledge Distillation
Authors: Zihao Tang, Zheqi Lv, Shengyu Zhang, Yifan Zhou, Xinyu Duan, Fei Wu, Kun Kuang
Affiliations: Zhejiang University; Shanghai Jiao Tong University; Huawei Cloud
Conference: iclr 2024 (main track)
Keywords: out-of-domain knowledge distillation;mixup learning;domain shift;uncertainty
Decision: Poster
Title: PAGAR: Taming Reward Misalignment in Inverse Reinforcement Learning-Based Imitation Learning with Protagonist Antagonist Guided Adversarial Reward
Affiliations: Paper under double-blind review
Conference: iclr 2024 (main track)
Keywords: Reward misspecification;reward misalignment;reward hacking;reward ambiguity;inverse reinforcement learning;reinforcement learning;imitation learning
Decision: Reject
Title: Stochastic Gradient Descent for Gaussian Processes Done Right
Authors: Jihao Andreas Lin, Shreyas Padhy, Javier Antorán, Austin Tripp, Alexander Terenin, Csaba Szepesvari, José Miguel Hernández Lobato, David Janz
Affiliations: University of Cambridge; University of Cambridge, Cornell University; University of Alberta
Conference: iclr 2024 (main track)
Keywords: Gaussian process;stochastic gradient descent
Decision: Poster
Title: New Insight of Variance reduce in Zero-Order Hard-Thresholding: Mitigating Gradient Error and Expansivity Contradictions
Authors: Xinzhe Yuan, William de Vazelhes, Bin Gu, Huan Xiong
Affiliations: IASM, Harbin Institute of Technology; Mohamed bin Zayed University of Artificial Intelligence; IASM, Harbin Institute of Technology; Mohamed bin Zayed University of Artificial Intelligence; School of Artificial Intelligence, Jilin University; Mohamed bin Zayed University of Artificial Intelligence
Conference: iclr 2024 (main track)
Keywords: zeroth-order gradient;hard-thresholding;variance reduction
Decision: Poster
Title: Ito Diffusion Approximation of Universal Ito Chains for Sampling, Optimization and Boosting
Authors: Aleksei Ustimenko, Aleksandr Beznosikov
Affiliations: ShareChat; Innopolis University, Skoltech, RANEPA, Yandex
Conference: iclr 2024 (main track)
Keywords: markov chains;diffusion processes
Decision: Poster
Title: Efficient Dynamics Modeling in Interactive Environments with Koopman Theory
Authors: Arnab Mondal, Siba Smarak Panigrahi, Sai Rajeswar, Kaleem Siddiqi, Siamak Ravanbakhsh
Affiliations: ServiceNow Research; Mila, McGill University
Conference: iclr 2024 (main track)
Keywords: Koopman Theory;Reinforcement Learning;Dynamical System;Planning;Longe range dynamics prediction models;Efficient forward dynamics
Decision: Poster
Title: Sample-efficient Learning of Infinite-horizon Average-reward MDPs with General Function Approximation
Authors: Jianliang He, Han Zhong, Zhuoran Yang
Affiliations: Department of Statistics and Data Science, Fudan University; Center for Data Science, Peking University; Department of Statistics and Data Science, Yale University
Conference: iclr 2024 (main track)
Keywords: Reinforcement learning theory;General function approximation;Infinite-horizon Average-reward MDPs;Sample efficiency
Decision: Poster
Title: Tensor Trust: Interpretable Prompt Injection Attacks from an Online Game
Authors: Sam Toyer, Olivia Watkins, Ethan Mendes, Justin Svegliato, Luke Bailey, Tiffany Wang, Isaac Ong, Karim Elmaaroufi, Pieter Abbeel, trevor darrell, Alan Ritter, Stuart Russell
Affiliations: Georgia Tech; Harvard University; UC Berkeley
Conference: iclr 2024 (main track)
Keywords: large language models;LLMs;security;adversarial examples;prompt extraction;prompt injection;prompt hijacking;prompt engineering
Decision: Spotlight
Title: Improving Generalization of Alignment with Human Preferences through Group Invariant Learning
Authors: Rui Zheng, Wei Shen, Yuan Hua, Wenbin Lai, Shihan Dou, Yuhao Zhou, Zhiheng Xi, Xiao Wang, Haoran Huang, Tao Gui, Qi Zhang, Xuanjing Huang
Affiliations: ByteDance Inc; Fudan University NLP Group
Conference: iclr 2024 (main track)
Keywords: alignment;language model;invariant learning
Decision: Spotlight
Title: Crystalformer: Infinitely Connected Attention for Periodic Structure Encoding
Authors: Tatsunori Taniai, Ryo Igarashi, Yuta Suzuki, Naoya Chiba, Kotaro Saito, Yoshitaka Ushiku, Kanta Ono
Affiliations: Tohoku University; Osaka University; Randeft Inc.; OMRON SINIC X Corp.; Toyota Motor Corp.
Conference: iclr 2024 (main track)
Keywords: Materials Science;Attention Networks;Transformer;Physics-Informed ML
Decision: Poster
Title: Global Optimality for Non-linear Constrained Restoration Problems via Invexity
Authors: Samuel Pinilla, Jeyan Thiyagalingam
Affiliations: Scientific Computing Department, Science and Technology Facilities Council; Rutherford Appleton Laboratory, Harwell, UK
Conference: iclr 2024 (main track)
Keywords: Constrained optimization;Invexity;Quasi-invexity;Global optima
Decision: Poster
Title: Adaptive Federated Learning with Auto-Tuned Clients
Authors: Junhyung Lyle Kim, Mohammad Taha Toghani, Cesar Uribe, Anastasios Kyrillidis
Affiliations: Department of Computer Science, Rice University, Houston, TX 77005, USA; Department of Electrical and Computer Engineering, Rice University, Houston, TX 77005, USA
Conference: iclr 2024 (main track)
Keywords: federated learning;distributed optimization;adaptive method
Decision: Poster
Title: Neural Active Learning Beyond Bandits
Authors: Yikun Ban, Ishika Agarwal, Ziwei Wu, Yada Zhu, Kommy Weldemariam, Hanghang Tong, Jingrui He
Affiliations: University of Illinois Urbana-Champaign; IBM Research
Conference: iclr 2024 (main track)
Keywords: Active Learning;Neural Active Learning;Contextual Bandits;Neural Contextual Bandits
Decision: Poster
Title: A Progressive Training Framework for Spiking Neural Networks with Learnable Multi-hierarchical Model
Authors: Zecheng Hao, Xinyu Shi, Zihan Huang, Tong Bu, Zhaofei Yu, Tiejun Huang
Affiliations: School of Computer Science, Peking University; Institute for Artificial Intelligence, Peking University
Conference: iclr 2024 (main track)
Keywords: Spiking Neural Networks;Learnable Multi-hierarchical Model;Spatio-Temporal Back-propagation
Decision: Poster
Title: InfoCon: Concept Discovery with Generative and Discriminative Informativeness
Authors: Ruizhe Liu, Qian Luo, Yanchao Yang
Affiliations: HKU Musketeers Foundation Institute of Data Science, The University of Hong Kong; HKU Musketeers Foundation Institute of Data Science, The University of Hong Kong and School of Electronics Engineering and Computer Science, Peking University; Department of Electrical and Electronic Engineering, The University of Hong Kong
Conference: iclr 2024 (main track)
Keywords: concept discovery;robotic manipulation;self-supervised learning
Decision: Poster