ICLR

2021–2025 確定版

著者一覧 · 国際会議 · 大学ランキング

ICLR 公式サイト ↗

Machine Learning

2024 · 2,260 papers

このEditionに反映済みのmain full research papersのみ掲載しています。著者リンクは日本の大学への著者別所属根拠がある場合に限ります。

2024 · ICLR
Scalable Modular Network: A Framework for Adaptive Learning via Agreement Routing
Minyang Hu, Hong Chang, Bingpeng Ma, Shiguang Shan, Xilin CHEN
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Scalable Monotonic Neural Networks
Hyunho Kim, Jong-Seok Lee
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Scalable Neural Network Kernels
Arijit Sehanobish, Krzysztof Choromanski, YUNFAN ZHAO, Kumar Dubey, Valerii Likhosherstov
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Scalable and Effective Implicit Graph Neural Networks on Large Graphs
Juncheng Liu, Bryan Hooi, Kenji Kawaguchi, Yiwei Wang, Chaosheng Dong, Xiaokui Xiao
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Scale-Adaptive Diffusion Model for Complex Sketch Synthesis
Jijin Hu, Ke Li, Yonggang Qi, Yi-Zhe Song
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
ScaleCrafter: Tuning-free Higher-Resolution Visual Generation with Diffusion Models
Yingqing He, Shaoshu Yang, Haoxin Chen, Xiaodong Cun, Menghan Xia, Yong Zhang, Xintao WANG, Ran He, Qifeng Chen, Ying Shan
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Scaling Convex Neural Networks with Burer-Monteiro Factorization
Arda Sahiner, Tolga Ergen, Batu Ozturkler, John M Pauly, Morteza Mardani, Mert Pilanci
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Scaling Laws for Associative Memories
Vivien Cabannes, Elvis Dohmatob, Alberto Bietti
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Scaling Laws for Sparsely-Connected Foundation Models
Elias Frantar, Carlos Riquelme Ruiz, Neil Houlsby, Dan Alistarh, Utku Evci
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Scaling Laws of RoPE-based Extrapolation
Xiaoran Liu, Hang Yan, Chenxin An, Xipeng Qiu, Dahua Lin
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Scaling Supervised Local Learning with Augmented Auxiliary Networks
Chenxiang Ma, Jibin Wu, Chenyang Si, KC Tan
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Scaling for Training Time and Post-hoc Out-of-distribution Detection Enhancement
Kai Xu, Rongyu Chen, Gianni Franchi, Angela Yao
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Scaling physics-informed hard constraints with mixture-of-experts
Nithin Chalapathi, Yiheng Du, Aditi Krishnapriyan
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Score Models for Offline Goal-Conditioned Reinforcement Learning
Harshit Sikchi, Rohan Chitnis, Ahmed Touati, Alborz Geramifard, Amy Zhang, Scott Niekum
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Score Regularized Policy Optimization through Diffusion Behavior
Huayu Chen, Cheng Lu, Zhengyi Wang, Hang Su, Jun Zhu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Score-based generative models break the curse of dimensionality in learning a family of sub-Gaussian distributions
Frank Cole, Yulong Lu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Searching for High-Value Molecules Using Reinforcement Learning and Transformers
Raj Ghugare, Santiago Miret, Adriana Hugessen, mariano Phielipp, Glen Berseth
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Seeking Neural Nuggets: Knowledge Transfer in Large Language Models from a Parametric Perspective
Ming Zhong, Chenxin An, Weizhu Chen, Jiawei Han, Pengcheng He
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Seer: Language Instructed Video Prediction with Latent Diffusion Models
Xianfan Gu, Chuan Wen, Weirui Ye, Jiaming Song, Yang Gao
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Select to Perfect: Imitating desired behavior from large multi-agent data
Tim Franzmeyer, Edith Elkind, Philip Torr, Jakob Foerster, Joao F. Henriques
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Selective Mixup Fine-Tuning for Optimizing Non-Decomposable Objectives
Shrinivas Ramasubramanian, Harsh Rangwani, Sho Takemori, Kunal Samanta, Yuhei Umeda, Venkatesh Babu Radhakrishnan
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Selective Visual Representations Improve Convergence and Generalization for Embodied AI
Ainaz Eftekhar, Kuo-Hao Zeng, Jiafei Duan, Ali Farhadi, Aniruddha Kembhavi, Ranjay Krishna
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Self-Alignment with Instruction Backtranslation
Xian Li, Ping Yu, Chunting Zhou, Timo Schick, Omer Levy, Luke Zettlemoyer, Jason E Weston, Mike Lewis
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Self-Consuming Generative Models Go MAD
Sina Alemohammad, Josue Casco-Rodriguez, Lorenzo Luzi, Ahmed Imtiaz Humayun, Hossein Babaei, Daniel LeJeune, Ali Siahkoohi, Richard Baraniuk
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Self-Guided Masked Autoencoders for Domain-Agnostic Self-Supervised Learning
Johnathan Xie, Yoonho Lee, Annie Chen, Chelsea Finn
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection
Akari Asai, Zeqiu Wu, Yizhong Wang, Avi Sil, Hannaneh Hajishirzi
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Self-Supervised Contrastive Learning for Long-term Forecasting
Junwoo Park, Daehoon Gwak, Jaegul Choo, Edward Choi
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Self-Supervised Dataset Distillation for Transfer Learning
Dong Bok Lee, Seanie Lee, Joonho Ko, Kenji Kawaguchi, Juho Lee, Sung Ju Hwang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Self-Supervised Heterogeneous Graph Learning: a Homophily and Heterogeneity View
YUJIE MO, Feiping Nie, Ping Hu, Heng Tao Shen, Zheng Zhang, Xinchao Wang, Xiaofeng Zhu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Self-Supervised High Dynamic Range Imaging with Multi-Exposure Images in Dynamic Scenes
Zhilu Zhang, Haoyu Wang, Shuai Liu, Xiaotao Wang, LEI LEI, Wangmeng Zuo
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Self-Supervised Speech Quality Estimation and Enhancement Using Only Clean Speech
Szu-Wei Fu, Kuo-Hsuan Hung, Yu Tsao, Yu-Chiang Frank Wang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Self-contradictory Hallucinations of Large Language Models: Evaluation, Detection and Mitigation
Niels Mündler, Jingxuan He, Slobodan Jenko, Martin Vechev
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Self-supervised Pocket Pretraining via Protein Fragment-Surroundings Alignment
Bowen Gao, Yinjun JIA, Yuanle Mo, Yuyan Ni, Wei-Ying Ma, Zhi-Ming Ma, Yanyan Lan
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Self-supervised Representation Learning from Random Data Projectors
Yi Sui, Tongzi Wu, Jesse Cresswell, Ga Wu, George Stein, Xiao Shi (Gary) Huang, Xiaochen Zhang, Maksims Volkovs
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
SelfCheck: Using LLMs to Zero-Shot Check Their Own Step-by-Step Reasoning
Ning Miao, Yee Whye Teh, Tom Rainforth
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Semantic Flow: Learning Semantic Fields of Dynamic Scenes from Monocular Videos
Fengrui Tian, Yueqi Duan, Angtian Wang, Jianfei Guo, Shaoyi Du
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
SemiReward: A General Reward Model for Semi-supervised Learning
Siyuan Li, Weiyang Jin, Zedong Wang, Fang Wu, Zicheng Liu, Cheng Tan, Stan Z Li
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Sentence-level Prompts Benefit Composed Image Retrieval
Yang Bai, Xinxing Xu, Yong Liu, Salman Khan, Fahad Khan, Wangmeng Zuo, Rick Siow Mong Mong, Chun-Mei Feng
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Separate and Diffuse: Using a Pretrained Diffusion Model for Better Source Separation
Shahar Lutati, Eliya Nachmani, Lior Wolf
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Separating common from salient patterns with Contrastive Representation Learning
Robin Louiset, Edouard Duchesnay, Grigis Antoine, Pietro Gori
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
SequenceMatch: Imitation Learning for Autoregressive Sequence Modelling with Backtracking
Chris Cundy, Stefano Ermon
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Set Learning for Accurate and Calibrated Models
Lukas Muttenthaler, Robert A Vandermeulen, Qiuyi (Richard) Zhang, Thomas Unterthiner, Klaus R Muller
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
SetCSE: Set Operations using Contrastive Learning of Sentence Embeddings
Kang Liu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Shadow Cones: A Generalized Framework for Partial Order Embeddings
Tao Yu, Toni Liu, Albert Tseng, Christopher De Sa
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Sharpness-Aware Data Poisoning Attack
Pengfei He, Han Xu, Jie Ren, Yingqian Cui, Shenglai Zeng, Hui Liu, Charu Aggarwal, Jiliang Tang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Sharpness-Aware Minimization Enhances Feature Quality via Balanced Learning
Jacob Springer, Vaishnavh Nagarajan, Aditi Raghunathan
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Sheared LLaMA: Accelerating Language Model Pre-training via Structured Pruning
Mengzhou Xia, Tianyu Gao, Zhiyuan Zeng, Danqi Chen
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Sign2GPT: Leveraging Large Language Models for Gloss-Free Sign Language Translation
Ryan Wong, Necati Cihan Camgoz, Richard Bowden
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Simple Hierarchical Planning with Diffusion
Chang Chen, Fei Deng, Kenji Kawaguchi, Caglar Gulcehre, Sungjin Ahn
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Simple Minimax Optimal Byzantine Robust Algorithm for Nonconvex Objectives with Uniform Gradient Heterogeneity
Tomoya Murata, Kenta Niwa, Takumi Fukami, Iifan Tyou
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Simplicial Representation Learning with Neural $k$-Forms
Kelly Maggs, Celia Hacker, Bastian Rieck
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Simplifying Transformer Blocks
Bobby He, Thomas Hofmann
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Sin3DM: Learning a Diffusion Model from a Single 3D Textured Shape
Rundi Wu, Ruoshi Liu, Carl Vondrick, Changxi Zheng
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
SineNet: Learning Temporal Dynamics in Time-Dependent Partial Differential Equations
Xuan Zhang, Jacob Helwig, Yuchao Lin, Yaochen Xie, Cong Fu, Stephan Wojtowytsch, Shuiwang Ji
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Single Motion Diffusion
Sigal Raab, Inbal Leibovitch, Guy Tevet, Moab Arar, Amit Bermano, Daniel Cohen-Or
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Skeleton-of-Thought: Prompting LLMs for Efficient Parallel Generation
Xuefei Ning, Zinan Lin, Zixuan Zhou, Zifu Wang, Huazhong Yang, Yu Wang
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Skill Machines: Temporal Logic Skill Composition in Reinforcement Learning
Geraud Nangue Tasse, Devon Jarvis, Steven James, Benjamin Rosman
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Skill or Luck? Return Decomposition via Advantage Functions
Hsiao-Ru Pan, David Ha
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Skip-Attention: Improving Vision Transformers by Paying Less Attention
Shashank Venkataramanan, Amir Ghodrati, Yuki Asano, Fatih Porikli, Amirhossein Habibian
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
SliceGPT: Compress Large Language Models by Deleting Rows and Columns
Saleh Ashkboos, Maximilian Croci, Marcelo Gennari do Nascimento, Torsten Hoefler, James Hensman
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Sliced Denoising: A Physics-Informed Molecular Pre-Training Method
Yuyan Ni, Shikun Feng, Wei-Ying Ma, Zhi-Ming Ma, Yanyan Lan
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Sliced Wasserstein Estimation with Control Variates
Khai Nguyen, Nhat Ho
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Small-scale proxies for large-scale Transformer training instabilities
Mitchell Wortsman, Peter Liu, Lechao Xiao, Katie Everett, Alexander Alemi, Ben Adlam, JD Co-Reyes, Izzeddin Gur, Abhishek Kumar, Roman Novak, Jeffrey Pennington, Jascha Sohl-Dickstein, Kelvin Xu, Jaehoon Lee, Justin Gilmer, Simon Kornblith
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
SmartPlay : A Benchmark for LLMs as Intelligent Agents
Yue Wu, Xuan Tang, Tom Mitchell, Yuanzhi Li
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Smooth ECE: Principled Reliability Diagrams via Kernel Smoothing
Jaroslaw Blasiok, Preetum Nakkiran
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Social Reward: Evaluating and Enhancing Generative AI through Million-User Feedback from an Online Creative Community
Arman Isajanyan, Artur Shatveryan, David Kocharian, Zhangyang Wang, Humphrey Shi
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Social-Transmotion: Promptable Human Trajectory Prediction
Saeed Saadatnejad, Yang Gao, Kaouther Messaoud, Alexandre Alahi
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
SocioDojo: Building Lifelong Analytical Agents with Real-world Text and Time Series
Junyan Cheng, Peter Chin
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Soft Contrastive Learning for Time Series
Seunghan Lee, Taeyoung Park, Kibok Lee
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Soft Mixture Denoising: Beyond the Expressive Bottleneck of Diffusion Models
Yangming Li, Boris van Breugel, Mihaela van der Schaar
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Soft Robust MDPs and Risk-Sensitive MDPs: Equivalence, Policy Gradient, and Sample Complexity
Runyu Zhang, Yang Hu, Na Li
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Solving Challenging Math Word Problems Using GPT-4 Code Interpreter with Code-based Self-Verification
Aojun Zhou, Ke Wang, Zimu Lu, Weikang Shi, Sichun Luo, Zipeng Qin, Shaoqing Lu, Anya Jia, Linqi Song, Mingjie Zhan, Hongsheng Li
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Solving Diffusion ODEs with Optimal Boundary Conditions for Better Image Super-Resolution
Yiyang Ma, Huan Yang, Wenhan Yang, Jianlong Fu, Jiaying Liu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Solving High Frequency and Multi-Scale PDEs with Gaussian Processes
Shikai Fang, Madison Cooley, Da Long, Shibo Li, Mike Kirby, Shandian Zhe
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Solving Homogeneous and Heterogeneous Cooperative Tasks with Greedy Sequential Execution
Shanqi Liu, Dong Xing, Pengjie Gu, Xinrun Wang, Bo An, Yong Liu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Solving Inverse Problems with Latent Diffusion Models via Hard Data Consistency
Bowen Song, Soo Min Kwon, Zecheng Zhang, Xinyu Hu, Qing Qu, Liyue Shen
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Some Fundamental Aspects about Lipschitz Continuity of Neural Networks
Grigory Khromov, Sidak Pal Singh
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Sophia: A Scalable Stochastic Second-order Optimizer for Language Model Pre-training
Hong Liu, Zhiyuan Li, David Hall, Percy Liang, Tengyu Ma
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Source-Free and Image-Only Unsupervised Domain Adaptation for Category Level Object Pose Estimation
Prakhar Kaushik, Aayush Mishra, Adam Kortylewski, Alan Yuille
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
SpQR: A Sparse-Quantized Representation for Near-Lossless LLM Weight Compression
Tim Dettmers, Ruslan Svirschevski, Vage Egiazarian, Denis Kuznedelev, Elias Frantar, Saleh Ashkboos, Alexander Borzunov, Torsten Hoefler, Dan Alistarh
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
SpaCE: The Spatial Confounding Environment
Mauricio Tec, Ana Trisovic, Michelle Audirac, Sophie Woodward, Jie Hu, Naeem Khoshnevis, Francesca Dominici
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Space Group Constrained Crystal Generation
Rui Jiao, Wenbing Huang, Yu Liu, Deli Zhao, Yang Liu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Space and time continuous physics simulation from partial observations
Steeven Janny, Madiha Nadri, Julie Digne, Christian Wolf
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Sparse Autoencoders Find Highly Interpretable Features in Language Models
Robert Huben, Hoagy Cunningham, Logan Smith, Aidan Ewart, Lee Sharkey
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Sparse MoE with Language Guided Routing for Multilingual Machine Translation
Xinyu Zhao, Xuxi Chen, Yu Cheng, Tianlong Chen
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Sparse Model Soups: A Recipe for Improved Pruning via Model Averaging
Max Zimmer, Christoph Spiegel, Sebastian Pokutta
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Sparse Spiking Neural Network: Exploiting Heterogeneity in Timescales for Pruning Recurrent SNN
Biswadeep Chakraborty, Beomseok Kang, Harshit Kumar, Saibal Mukhopadhyay
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Sparse Weight Averaging with Multiple Particles for Iterative Magnitude Pruning
Moonseok Choi, Hyungi Lee, Giung Nam, Juho Lee
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
SparseDFF: Sparse-View Feature Distillation for One-Shot Dexterous Manipulation
Qianxu Wang, Haotong Zhang, Congyue Deng, Yang You, Hao Dong, Yixin Zhu, Leonidas Guibas
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
SparseFormer: Sparse Visual Recognition via Limited Latent Tokens
Ziteng Gao, Zhan Tong, Limin Wang, Mike Zheng Shou
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Sparsistency for inverse optimal transport
Francisco Andrade, Gabriel Peyré, Clarice Poon
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Spatially-Aware Transformers for Embodied Agents
Junmo Cho, Jaesik Yoon, Sungjin Ahn
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Spatio-Temporal Approximation: A Training-Free SNN Conversion for Transformers
Yizhou Jiang, Kunlin Hu, Tianren Zhang, Haichuan Gao, Yuqian Liu, Ying Fang, Feng Chen
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Spatio-Temporal Few-Shot Learning via Diffusive Neural Network Generation
Yuan Yuan, Chenyang Shao, Jingtao Ding, Depeng Jin, Yong Li
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Spectrally Transformed Kernel Regression
Runtian Zhai, Rattana Pukdee, Roger Jin, Nina Balcan, Pradeep K Ravikumar
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
SpeechTokenizer: Unified Speech Tokenizer for Speech Language Models
Xin Zhang, Dong Zhang, Shimin Li, Yaqian Zhou, Xipeng Qiu
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Spike-driven Transformer V2: Meta Spiking Neural Network Architecture Inspiring the Design of Next-generation Neuromorphic Chips
Man Yao, Jiakui Hu, Tianxiang Hu, Yifan Xu, Zhaokun Zhou, Yonghong Tian, Bo XU, Guoqi Li
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
SpikePoint: An Efficient Point-based Spiking Neural Network for Event Cameras Action Recognition
Hongwei Ren, Yue ZHOU, Xiaopeng LIN, Yulong Huang, Haotian FU, Jie Song, Bojun Cheng
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Spoken Question Answering and Speech Continuation Using Spectrogram-Powered LLM
Eliya Nachmani, Alon Levkovitch, Roy Hirsch, Julian Salazar, Chulayuth Asawaroengchai, Soroosh Mariooryad, Ehud Rivlin, RJ Skerry-Ryan, Michele Tadmor Ramanovich
Machine Learning
日本大学: 関与なし（対象大学）
2024 · ICLR
Spurious Feature Diversification Improves Out-of-distribution Generalization
Yong Lin, Lu Tan, Yifan HAO, Honam Wong, Hanze Dong, WEIZHONG ZHANG, Yujiu Yang, Tong Zhang
Machine Learning
日本大学: 関与なし（対象大学）