Most Cited 2024 "temporal distances" Papers
12,324 papers found • Page 11 of 62
Conference
Unveiling the Pitfalls of Knowledge Editing for Large Language Models
Zhoubo Li, Ningyu Zhang, Yunzhi Yao et al.
MG-TSD: Multi-Granularity Time Series Diffusion Models with Guided Learning Process
Xinyao Fan, Yueying Wu, Chang XU et al.
Retrieval-Augmented Layout Transformer for Content-Aware Layout Generation
Daichi Horita, Naoto Inoue, Kotaro Kikuchi et al.
Theoretical insights for diffusion guidance: A case study for Gaussian mixture models
Yuchen Wu, Minshuo Chen, Zihao Li et al.
UniBind: LLM-Augmented Unified and Balanced Representation Space to Bind Them All
Yuanhuiyi Lyu, Xu Zheng, Jiazhou Zhou et al.
Generative Modeling of Regular and Irregular Time Series Data via Koopman VAEs
Ilan Naiman, N. Benjamin Erichson, Pu Ren et al.
Unsupervised Continual Anomaly Detection with Contrastively-Learned Prompt
Jiaqi Liu, Kai Wu, Qiang Nie et al.
EgoLifter: Open-world 3D Segmentation for Egocentric Perception
Qiao Gu, Zhaoyang Lv, Duncan Frost et al.
FreeKD: Knowledge Distillation via Semantic Frequency Prompt
Yuan Zhang, Tao Huang, Jiaming Liu et al.
A Dual-Augmentor Framework for Domain Generalization in 3D Human Pose Estimation
Qucheng Peng, Ce Zheng, Chen Chen
ScribblePrompt: Fast and Flexible Interactive Segmentation for Any Biomedical Image
Hallee E. Wong, Marianne Rakic, John Guttag et al.
LLMRG: Improving Recommendations through Large Language Model Reasoning Graphs
Yan Wang, Zhixuan Chu, Xin Ouyang et al.
Text2Analysis: A Benchmark of Table Question Answering with Advanced Data Analysis and Unclear Queries
Xinyi He, Mengyu Zhou, Xinrun Xu et al.
A Sober Look at LLMs for Material Discovery: Are They Actually Good for Bayesian Optimization Over Molecules?
Agustinus Kristiadi, Felix Strieth-Kalthoff, Marta Skreta et al.
DenseNets Reloaded: Paradigm Shift Beyond ResNets and ViTs
Donghyun Kim, Byeongho Heo, Dongyoon Han
Parameterized Physics-informed Neural Networks for Parameterized PDEs
Woojin Cho, Minju Jo, Haksoo Lim et al.
Online conformal prediction with decaying step sizes
Anastasios Angelopoulos, Rina Barber, Stephen Bates
Improved Probabilistic Image-Text Representations
Sanghyuk Chun
KVQ: Kwai Video Quality Assessment for Short-form Videos
Yiting Lu, Xin Li, Yajing Pei et al.
What to Remember: Self-Adaptive Continual Learning for Audio Deepfake Detection
XiaoHui Zhang, Jiangyan Yi, Chenglong Wang et al.
Error Detection in Egocentric Procedural Task Videos
Shih-Po Lee, Zijia Lu, Zekun Zhang et al.
Elijah: Eliminating Backdoors Injected in Diffusion Models via Distribution Shift
Shengwei An, Sheng-Yen Chou, Kaiyuan Zhang et al.
TiC-CLIP: Continual Training of CLIP Models
Saurabh Garg, Mehrdad Farajtabar, Hadi Pouransari et al.
PREFER: Prompt Ensemble Learning via Feedback-Reflect-Refine
Chenrui Zhang, Lin Liu, Chuyuan Wang et al.
Mask Grounding for Referring Image Segmentation
Yong Xien Chng, Henry Zheng, Yizeng Han et al.
Readout Guidance: Learning Control from Diffusion Features
Grace Luo, Trevor Darrell, Oliver Wang et al.
Any-Precision LLM: Low-Cost Deployment of Multiple, Different-Sized LLMs
Yeonhong Park, Jake Hyun, SangLyul Cho et al.
Consistent Video-to-Video Transfer Using Synthetic Dataset
Jiaxin Cheng, Tianjun Xiao, Tong He
Evaluating Language Model Agency Through Negotiations
Tim R. Davidson, Veniamin Veselovsky, Michal Kosinski et al.
MEMORYLLM: Towards Self-Updatable Large Language Models
Yu Wang, Yifan Gao, Xiusi Chen et al.
The good, the bad and the ugly sides of data augmentation: An implicit spectral regularization perspective
Chi-Heng Lin, Chiraag Kaushik, Eva Dyer et al.
Multi-modal In-Context Learning Makes an Ego-evolving Scene Text Recognizer
Zhen Zhao, Jingqun Tang, Chunhui Lin et al.
Two-stage LLM Fine-tuning with Less Specialization and More Generalization
Yihan Wang, Si Si, Daliang Li et al.
HouseCat6D - A Large-Scale Multi-Modal Category Level 6D Object Perception Dataset with Household Objects in Realistic Scenarios
HyunJun Jung, Shun-Cheng Wu, Patrick Ruhkamp et al.
Towards Robust Event-guided Low-Light Image Enhancement: A Large-Scale Real-World Event-Image Dataset and Novel Approach
Guoqiang Liang, Kanghao Chen, Hangyu Li et al.
Think2Drive: Efficient Reinforcement Learning by Thinking with Latent World Model for Autonomous Driving (in CARLA-v2)
Qifeng Li, Xiaosong Jia, Shaobo Wang et al.
PEM: Prototype-based Efficient MaskFormer for Image Segmentation
Niccolò Cavagnero, Gabriele Rosi, Claudia Cuttano et al.
SemCity: Semantic Scene Generation with Triplane Diffusion
Jumin Lee, Sebin Lee, Changho Jo et al.
Continual Self-supervised Learning: Towards Universal Multi-modal Medical Data Representation Learning
Yiwen Ye, Yutong Xie, Jianpeng Zhang et al.
Uniform Memory Retrieval with Larger Capacity for Modern Hopfield Models
Dennis Wu, Jerry Yao-Chieh Hu, Teng-Yun Hsiao et al.
TC-LIF: A Two-Compartment Spiking Neuron Model for Long-Term Sequential Modelling
Shimin Zhang, Qu Yang, Chenxiang Ma et al.
Multi-Memory Matching for Unsupervised Visible-Infrared Person Re-Identification
Jiangming Shi, Xiangbo Yin, Yeyun Chen et al.
360DVD: Controllable Panorama Video Generation with 360-Degree Video Diffusion Model
Qian Wang, Weiqi Li, Chong Mou et al.
Conversational Drug Editing Using Retrieval and Domain Feedback
Shengchao Liu, Jiongxiao Wang, Yijin Yang et al.
Provable Offline Preference-Based Reinforcement Learning
Wenhao Zhan, Masatoshi Uehara, Nathan Kallus et al.
Fair Federated Learning under Domain Skew with Local Consistency and Domain Diversity
Yuhang Chen, Wenke Huang, Mang Ye
Learned Representation-Guided Diffusion Models for Large-Image Generation
Alexandros Graikos, Srikar Yellapragada, Minh-Quan Le et al.
Map-Relative Pose Regression for Visual Re-Localization
Shuai Chen, Tommaso Cavallari, Victor Adrian Prisacariu et al.
Debiasing Multimodal Sarcasm Detection with Contrastive Learning
Mengzhao Jia, Can Xie, Liqiang Jing
AI Alignment with Changing and Influenceable Reward Functions
Micah Carroll, Davis Foote, Anand Siththaranjan et al.
In-Context Sharpness as Alerts: An Inner Representation Perspective for Hallucination Mitigation
Shiqi Chen, Miao Xiong, Junteng Liu et al.
Beyond ELBOs: A Large-Scale Evaluation of Variational Methods for Sampling
Denis Blessing, Xiaogang Jia, Johannes Esslinger et al.
Towards Unified Multi-Modal Personalization: Large Vision-Language Models for Generative Recommendation and Beyond
Tianxin Wei, Bowen Jin, Ruirui Li et al.
On Exact Inversion of DPM-Solvers
Seongmin Hong, Kyeonghyun Lee, Suh Yoon Jeon et al.
Can AI Assistants Know What They Don't Know?
Qinyuan Cheng, Tianxiang Sun, Xiangyang Liu et al.
Learning the 3D Fauna of the Web
Zizhang Li, Dor Litvak, Ruining Li et al.
Scene Adaptive Sparse Transformer for Event-based Object Detection
Yansong Peng, Li Hebei, Yueyi Zhang et al.
Graph Attention Retrospective
Kimon Fountoulakis, Amit Levi, Shenghao Yang et al.
EmoVIT: Revolutionizing Emotion Insights with Visual Instruction Tuning
Hongxia Xie, Chu-Jun Peng, Yu-Wen Tseng et al.
CrossGET: Cross-Guided Ensemble of Tokens for Accelerating Vision-Language Transformers
Dachuan Shi, Chaofan Tao, Anyi Rao et al.
Conformal Prediction for Deep Classifier via Label Ranking
Jianguo Huang, HuaJun Xi, Linjun Zhang et al.
Towards Real-World Test-Time Adaptation: Tri-net Self-Training with Balanced Normalization
Yongyi Su, Xun Xu, Kui Jia
LEMON: Learning 3D Human-Object Interaction Relation from 2D Images
Yuhang Yang, Wei Zhai, Hongchen Luo et al.
WorDepth: Variational Language Prior for Monocular Depth Estimation
Ziyao Zeng, Hyoungseob Park, Fengyu Yang et al.
Zeroth-Order Optimization Meets Human Feedback: Provable Learning via Ranking Oracles
Zhiwei Tang, Dmitry Rybin, Tsung-Hui Chang
SeD: Semantic-Aware Discriminator for Image Super-Resolution
Bingchen Li, Xin Li, Hanxin Zhu et al.
3D Face Reconstruction with the Geometric Guidance of Facial Part Segmentation
Zidu Wang, Xiangyu Zhu, Tianshuo Zhang et al.
Fast Decision Boundary based Out-of-Distribution Detector
Litian Liu, Yao Qin
CAGE: Controllable Articulation GEneration
Jiayi Liu, Hou In Ivan Tam, Ali Mahdavi Amiri et al.
Particle Guidance: non-I.I.D. Diverse Sampling with Diffusion Models
Gabriele Corso, Yilun Xu, Valentin De Bortoli et al.
Is In-Context Learning in Large Language Models Bayesian? A Martingale Perspective
Fabian Falck, Ziyu Wang, Christopher Holmes
TroVE: Inducing Verifiable and Efficient Toolboxes for Solving Programmatic Tasks
Zhiruo Wang, Graham Neubig, Daniel Fried
HanDiffuser: Text-to-Image Generation With Realistic Hand Appearances
Supreeth Narasimhaswamy, Uttaran Bhattacharya, Xiang Chen et al.
From Yes-Men to Truth-Tellers: Addressing Sycophancy in Large Language Models with Pinpoint Tuning
Wei Chen, Zhen Huang, Liang Xie et al.
AlignDiff: Aligning Diverse Human Preferences via Behavior-Customisable Diffusion Model
Zibin Dong, Yifu Yuan, Jianye HAO et al.
MAPE-PPI: Towards Effective and Efficient Protein-Protein Interaction Prediction via Microenvironment-Aware Protein Embedding
Lirong Wu, Yijun Tian, Yufei Huang et al.
A Vision Check-up for Language Models
Pratyusha Sharma, Tamar Rott Shaham, Manel Baradad et al.
Channel Vision Transformers: An Image Is Worth 1 x 16 x 16 Words
Yujia Bao, Srinivasan Sivanandan, THEOFANIS KARALETSOS
A Compact Dynamic 3D Gaussian Representation for Real-Time Dynamic View Synthesis
Kai Katsumata, Duc Minh Vo, Hideki Nakayama
EulerMormer: Robust Eulerian Motion Magnification via Dynamic Filtering within Transformer
Fei Wang, Dan Guo, Kun Li et al.
Few-Shot Detection of Machine-Generated Text using Style Representations
Rafael Rivera Soto, Kailin Koch, Aleem Khan et al.
vid-TLDR: Training Free Token Merging for Light-weight Video Transformer
Joonmyung Choi, Sanghyeok Lee, Jaewon Chu et al.
Balancing Act: Distribution-Guided Debiasing in Diffusion Models
Rishubh Parihar, Abhijnya Bhat, Abhipsa Basu et al.
CARTE: Pretraining and Transfer for Tabular Learning
Myung Jun Kim, Leo Grinsztajn, Gael Varoquaux
TAPTR: Tracking Any Point with Transformers as Detection
Hongyang Li, Hao Zhang, Shilong Liu et al.
Fine-Grained Distillation for Long Document Retrieval
Yucheng Zhou, Tao Shen, Xiubo Geng et al.
Probabilistic Forecasting with Stochastic Interpolants and Föllmer Processes
Yifan Chen, Mark Goldstein, Mengjian Hua et al.
Hard-Constrained Deep Learning for Climate Downscaling
Paula Harder, Alex Hernandez-Garcia, Venkatesh Ramesh et al.
SCEdit: Efficient and Controllable Image Diffusion Generation via Skip Connection Editing
Zeyinzi Jiang, Chaojie Mao, Yulin Pan et al.
Diffusion 3D Features (Diff3F): Decorating Untextured Shapes with Distilled Semantic Features
Niladri Shekhar Dutt, Sanjeev Muralikrishnan, Niloy J. Mitra
Any-Size-Diffusion: Toward Efficient Text-Driven Synthesis for Any-Size HD Images
Qingping Zheng, Yuanfan Guo, Jiankang Deng et al.
OrCo: Towards Better Generalization via Orthogonality and Contrast for Few-Shot Class-Incremental Learning
Noor Ahmed, Anna Kukleva, Bernt Schiele
Curriculum reinforcement learning for quantum architecture search under hardware errors
Yash J. Patel, Akash Kundu, Mateusz Ostaszewski et al.
Diffusion Model-Augmented Behavioral Cloning
Shang-Fu Chen, Hsiang-Chun Wang, Ming-Hao Hsu et al.
DiffusionAvatars: Deferred Diffusion for High-fidelity 3D Head Avatars
Tobias Kirschstein, Simon Giebenhain, Matthias Nießner
Investigating and Mitigating the Side Effects of Noisy Views for Self-Supervised Clustering Algorithms in Practical Multi-View Scenarios
Jie Xu, Yazhou Ren, Xiaolong Wang et al.
T-MARS: Improving Visual Representations by Circumventing Text Feature Learning
Pratyush Maini, Sachin Goyal, Zachary Lipton et al.
SD-DiT: Unleashing the Power of Self-supervised Discrimination in Diffusion Transformer
Rui Zhu, Yingwei Pan, Yehao Li et al.
A Watermark-Conditioned Diffusion Model for IP Protection
Rui Min, Sen Li, Hongyang Chen et al.
FFB: A Fair Fairness Benchmark for In-Processing Group Fairness Methods
Xiaotian Han, Jianfeng Chi, Yu Chen et al.
Learning Hierarchical Prompt with Structured Linguistic Knowledge for Vision-Language Models
Yubin Wang, Xinyang Jiang, De Cheng et al.
FlowVQTalker: High-Quality Emotional Talking Face Generation through Normalizing Flow and Quantization
Shuai Tan, Bin Ji, Ye Pan
Interpreting and Improving Large Language Models in Arithmetic Calculation
Wei Zhang, Wan Chaoqun, Yonggang Zhang et al.
Prompt Learning via Meta-Regularization
Jinyoung Park, Juyeon Ko, Hyunwoo J. Kim
Stream Query Denoising for Vectorized HD-Map Construction
Shuo Wang, Fan Jia, Weixin Mao et al.
Language Models as Black-Box Optimizers for Vision-Language Models
Shihong Liu, Samuel Yu, Zhiqiu Lin et al.
LP++: A Surprisingly Strong Linear Probe for Few-Shot CLIP
Yunshi HUANG, Fereshteh Shakeri, Jose Dolz et al.
Outlier-Efficient Hopfield Layers for Large Transformer-Based Models
Jerry Yao-Chieh Hu, Pei-Hsuan Chang, Haozheng Luo et al.
Emotional Speech-driven 3D Body Animation via Disentangled Latent Diffusion
Kiran Chhatre, Radek Danecek, Nikos Athanasiou et al.
Object-Aware Domain Generalization for Object Detection
WooJu Lee, Dasol Hong, Hyungtae Lim et al.
Test-Time Domain Generalization for Face Anti-Spoofing
Qianyu Zhou, Ke-Yue Zhang, Taiping Yao et al.
DePT: Decomposed Prompt Tuning for Parameter-Efficient Fine-tuning
Zhengxiang Shi, Aldo Lipani
Non-Vacuous Generalization Bounds for Large Language Models
Sanae Lotfi, Marc Finzi, Yilun Kuang et al.
Intriguing Properties of Data Attribution on Diffusion Models
Xiaosen Zheng, Tianyu Pang, Chao Du et al.
Test-Time Adaptation with CLIP Reward for Zero-Shot Generalization in Vision-Language Models
Shuai Zhao, Xiaohan Wang, Linchao Zhu et al.
Class-Incremental Learning with CLIP: Adaptive Representation Adjustment and Parameter Fusion
Linlan Huang, Xusheng Cao, Haori Lu et al.
Vision-Language Pre-training with Object Contrastive Learning for 3D Scene Understanding
Taolin Zhang, Sunan He, Tao Dai et al.
Attribute-Missing Graph Clustering Network
Wenxuan Tu, Renxiang Guan, Sihang Zhou et al.
Beyond Imitation: Leveraging Fine-grained Quality Signals for Alignment
Geyang Guo, Ranchi Zhao, Tianyi Tang et al.
A Hard-to-Beat Baseline for Training-free CLIP-based Adaptation
Zhengbo Wang, Jian Liang, Lijun Sheng et al.
Image Sculpting: Precise Object Editing with 3D Geometry Control
Jiraphon Yenphraphai, Xichen Pan, Sainan Liu et al.
Teaching Language Models to Hallucinate Less with Synthetic Tasks
Erik Jones, Hamid Palangi, Clarisse Ribeiro et al.
Transfer CLIP for Generalizable Image Denoising
Jun Cheng, Dong Liang, Shan Tan
Frequency Spectrum Is More Effective for Multimodal Representation and Fusion: A Multimodal Spectrum Rumor Detector
An Lao, Qi Zhang, Chongyang Shi et al.
Correlation-Decoupled Knowledge Distillation for Multimodal Sentiment Analysis with Incomplete Modalities
Mingcheng Li, Dingkang Yang, Xiao Zhao et al.
SD4Match: Learning to Prompt Stable Diffusion Model for Semantic Matching
Xinghui Li, Jingyi Lu, Kai Han et al.
Norm Tweaking: High-Performance Low-Bit Quantization of Large Language Models
Liang Li, Qingyuan Li, Bo Zhang et al.
Image Restoration Through Generalized Ornstein-Uhlenbeck Bridge
Yue Conghan, Zhengwei Peng, Junlong Ma et al.
Towards Efficient Replay in Federated Incremental Learning
Yichen Li, Qunwei Li, Haozhao Wang et al.
Does CLIP’s generalization performance mainly stem from high train-test similarity?
Prasanna Mayilvahanan, Thaddäus Wiedemer, Evgenia Rusak et al.
Facing the Elephant in the Room: Visual Prompt Tuning or Full finetuning?
Cheng Han, Qifan Wang, Yiming Cui et al.
Multi-Task Reinforcement Learning with Mixture of Orthogonal Experts
Ahmed Hendawy, Jan Peters, Carlo D'Eramo
Dual RL: Unification and New Methods for Reinforcement and Imitation Learning
Harshit Sikchi, Qinqing Zheng, Amy Zhang et al.
Motion-Guided Latent Diffusion for Temporally Consistent Real-world Video Super-resolution
Xi Yang, Chenhang He, Jianqi Ma et al.
Linguistic-Aware Patch Slimming Framework for Fine-grained Cross-Modal Alignment
Zheren Fu, Lei Zhang, Hou Xia et al.
MuseChat: A Conversational Music Recommendation System for Videos
Zhikang Dong, Bin Chen, Xiulong Liu et al.
Neural Optimal Transport with General Cost Functionals
Arip Asadulaev, Alexander Korotin, Vage Egiazarian et al.
Codebook Features: Sparse and Discrete Interpretability for Neural Networks
Alex Tamkin, Mohammad Taufeeque, Noah Goodman
Addressing Loss of Plasticity and Catastrophic Forgetting in Continual Learning
Mohamed Elsayed, A. Rupam Mahmood
Yet Another ICU Benchmark: A Flexible Multi-Center Framework for Clinical ML
Robin van de Water, Hendrik Schmidt, Paul Elbers et al.
ReconBoost: Boosting Can Achieve Modality Reconcilement
Cong Hua, Qianqian Xu, Shilong Bao et al.
ID-like Prompt Learning for Few-Shot Out-of-Distribution Detection
Yichen Bai, Zongbo Han, Bing Cao et al.
Fusing Models with Complementary Expertise
Hongyi Wang, Felipe Polo, Yuekai Sun et al.
Symbolic Music Generation with Non-Differentiable Rule Guided Diffusion
Yujia Huang, Adishree Ghatare, Yuanzhe Liu et al.
VCR-Graphormer: A Mini-batch Graph Transformer via Virtual Connections
Dongqi Fu, Zhigang Hua, Yan Xie et al.
A Simple Recipe for Contrastively Pre-training Video-First Encoders Beyond 16 Frames
Pinelopi Papalampidi, Skanda Koppula, Shreya Pathak et al.
IBD-PSC: Input-level Backdoor Detection via Parameter-oriented Scaling Consistency
Linshan Hou, Ruili Feng, Zhongyun Hua et al.
MoMA: Multimodal LLM Adapter for Fast Personalized Image Generation
KUNPENG SONG, Yizhe Zhu, Bingchen Liu et al.
Improving Diffusion Models for Inverse Problems Using Optimal Posterior Covariance
Xinyu Peng, Ziyang Zheng, Wenrui Dai et al.
Benchmarking and Improving Generator-Validator Consistency of Language Models
XIANG LI, Vaishnavi Shrivastava, Siyan Li et al.
Context-Guided Spatio-Temporal Video Grounding
Xin Gu, Heng Fan, Yan Huang et al.
Quality-Diversity through AI Feedback
Herbie Bradley, Andrew Dai, Hannah Teufel et al.
Distinguishing the Knowable from the Unknowable with Language Models
Gustaf Ahdritz, Tian Qin, Nikhil Vyas et al.
THOUGHT PROPAGATION: AN ANALOGICAL APPROACH TO COMPLEX REASONING WITH LARGE LANGUAGE MODELS
Junchi Yu, Ran He, Rex Ying
Context-Aware Integration of Language and Visual References for Natural Language Tracking
Yanyan Shao, Shuting He, Qi Ye et al.
MesonGS: Post-training Compression of 3D Gaussians via Efficient Attribute Transformation
Shuzhao Xie, Weixiang Zhang, Chen Tang et al.
Large Language Models Are Neurosymbolic Reasoners
Meng Fang, Shilong Deng, Yudi Zhang et al.
DiffAvatar: Simulation-Ready Garment Optimization with Differentiable Simulation
Yifei Li, Hsiaoyu Chen, Egor Larionov et al.
PAD: Patch-Agnostic Defense against Adversarial Patch Attacks
Lihua Jing, Rui Wang, Wenqi Ren et al.
A Diffusion-Based Framework for Multi-Class Anomaly Detection
Haoyang He, Jiangning Zhang, Hongxu Chen et al.
Consistent Diffusion Meets Tweedie: Training Exact Ambient Diffusion Models with Noisy Data
Giannis Daras, Alexandros Dimakis, Constantinos Daskalakis
Towards Balanced Alignment: Modal-Enhanced Semantic Modeling for Video Moment Retrieval
Zhihang Liu, Jun Li, Hongtao Xie et al.
Generative Proxemics: A Prior for 3D Social Interaction from Images
Vickie Ye, Vickie Ye, Georgios Pavlakos et al.
Leveraging Optimization for Adaptive Attacks on Image Watermarks
Nils Lukas, Abdelrahman Ahmed, Lucas Fenaux et al.
Overestimation, Overfitting, and Plasticity in Actor-Critic: the Bitter Lesson of Reinforcement Learning
Michal Nauman, Michał Bortkiewicz, Piotr Milos et al.
TOD3Cap: Towards 3D Dense Captioning in Outdoor Scenes
Bu Jin, Yupeng Zheng, Pengfei Li et al.
SLiMe: Segment Like Me
Aliasghar Khani, Saeid Asgari, Aditya Sanghi et al.
Retrieval-Enhanced Contrastive Vision-Text Models
Ahmet Iscen, Mathilde Caron, Alireza Fathi et al.
Improved Operator Learning by Orthogonal Attention
Zipeng Xiao, Zhongkai Hao, Bokai Lin et al.
DeepSpeed Data Efficiency: Improving Deep Learning Model Quality and Training Efficiency via Efficient Data Sampling and Routing
Conglong Li, Zhewei Yao, Xiaoxia Wu et al.
Learning with 3D rotations, a hitchhiker's guide to SO(3)
Andreas René Geist, Jonas Frey, Mikel Zhobro et al.
MegaScenes: Scene-Level View Synthesis at Scale
Joseph Tung, Gene Chou, Ruojin Cai et al.
NOPE: Novel Object Pose Estimation from a Single Image
Van Nguyen Nguyen, Thibault Groueix, Georgy Ponimatkin et al.
Texture-GS: Disentangle the Geometry and Texture for 3D Gaussian Splatting Editing
Tian-Xing Xu, WENBO HU, Yu-Kun Lai et al.
A Unified and General Framework for Continual Learning
Zhenyi Wang, Yan Li, Li Shen et al.
WOODS: Benchmarks for Out-of-Distribution Generalization in Time Series
Irina Rish, Kartik Ahuja, Mohammad Javad Darvishi Bayazi et al.
BAT: Learning to Reason about Spatial Sounds with Large Language Models
Zhisheng Zheng, Puyuan Peng, Ziyang Ma et al.
XKD: Cross-Modal Knowledge Distillation with Domain Alignment for Video Representation Learning
Pritam Sarkar, Ali Etemad
Superpoint Gaussian Splatting for Real-Time High-Fidelity Dynamic Scene Reconstruction
Diwen Wan, Ruijie Lu, Gang Zeng
Stable Neural Stochastic Differential Equations in Analyzing Irregular Time Series Data
YongKyung Oh, Dongyoung Lim, Sungil Kim
Taming Mode Collapse in Score Distillation for Text-to-3D Generation
Peihao Wang, Dejia Xu, Zhiwen Fan et al.
Fourier Transporter: Bi-Equivariant Robotic Manipulation in 3D
Haojie Huang, Owen Howell, Dian Wang et al.
Agent Instructs Large Language Models to be General Zero-Shot Reasoners
Nicholas Crispino, Kyle Montgomery, Fankun Zeng et al.
Generalized Neural Collapse for a Large Number of Classes
Jiachen Jiang, Jinxin Zhou, Peng Wang et al.
Do You Remember? Dense Video Captioning with Cross-Modal Memory Retrieval
Minkuk Kim, Hyeon Bae Kim, Jinyoung Moon et al.
Texture-Preserving Diffusion Models for High-Fidelity Virtual Try-On
Xu Yang, Changxing Ding, Zhibin Hong et al.
UnScene3D: Unsupervised 3D Instance Segmentation for Indoor Scenes
David Rozenberszki, Or Litany, Angela Dai
Multimodal Prototyping for cancer survival prediction
Andrew Song, Richard Chen, Guillaume Jaume et al.
NoiseCLR: A Contrastive Learning Approach for Unsupervised Discovery of Interpretable Directions in Diffusion Models
Yusuf Dalva, Pinar Yanardag
Reverse Diffusion Monte Carlo
Xunpeng Huang, Hanze Dong, Yifan HAO et al.
FlashFFTConv: Efficient Convolutions for Long Sequences with Tensor Cores
Dan Fu, Hermann Kumbong, Eric Nguyen et al.
Separate the Wheat from the Chaff: Model Deficiency Unlearning via Parameter-Efficient Module Operation
Xinshuo Hu, Dongfang Li, Zihao Zheng et al.
Friendly Sharpness-Aware Minimization
Tao Li, Pan Zhou, Zhengbao He et al.
Few Shot Part Segmentation Reveals Compositional Logic for Industrial Anomaly Detection
Soopil Kim, Sion An, Philip Chikontwe et al.
Devignet: High-Resolution Vignetting Removal via a Dual Aggregated Fusion Transformer with Adaptive Channel Expansion
Shenghong Luo, Xuhang Chen, Weiwen Chen et al.
LLMs Meet VLMs: Boost Open Vocabulary Object Detection with Fine-grained Descriptors
Sheng JIn, Xueying Jiang, Jiaxing Huang et al.
AiOS: All-in-One-Stage Expressive Human Pose and Shape Estimation
Qingping SUN, Yanjun Wang, Ailing Zeng et al.
Mastering Memory Tasks with World Models
Mohammad Reza Samsami, Artem Zholus, Janarthanan Rajendran et al.
ViLa-MIL: Dual-scale Vision-Language Multiple Instance Learning for Whole Slide Image Classification
Jiangbo Shi, Chen Li, Tieliang Gong et al.
Translate Meanings, Not Just Words: IdiomKB’s Role in Optimizing Idiomatic Translation with Language Models
Shuang Li, Jiangjie Chen, Siyu Yuan et al.