Most Cited 2025 Poster Papers
22,274 papers found • Page 72 of 112
Conference
Rethinking Self-Distillation: Label Averaging and Enhanced Soft Label Refinement with Partial Labels
Hyeonsu Jeong, Hye Won Chung
DMol: A Highly Efficient and Chemical Motif-Preserving Molecule Generation Platform
Peizhi Niu, Yu-Hsiang Wang, Vishal Rana et al.
DyCAST: Learning Dynamic Causal Structure from Time Series
Yue Cheng, Bochen Lyu, Weiwei Xing et al.
Behavioral Exploration: Learning to Explore via In-Context Adaptation
Andrew Wagenmaker, Zhiyuan Zhou, Sergey Levine
No More Tuning: Prioritized Multi-Task Learning with Lagrangian Differential Multiplier Methods
Zhengxing Cheng, Yuheng Huang, Zhixuan Zhang et al.
Efficient Policy Evaluation with Safety Constraint for Reinforcement Learning
Claire Chen, Shuze Liu, Shangtong Zhang
CUGF: A Reliable and Fair Recommendation Framework
Nitin Bisht, Xiuwen Gong, Guandong Xu
Robot-Gated Interactive Imitation Learning with Adaptive Intervention Mechanism
Haoyuan Cai, Zhenghao Peng, Bolei Zhou
HADAMRNN: BINARY AND SPARSE TERNARY ORTHOGONAL RNNS
Armand Foucault, Francois Malgouyres, Franck Mamalet
GeoPro-Net: Learning Interpretable Spatiotemporal Prediction Models Through Statistically-Guided Geo-Prototyping
Bang An, Xun Zhou, Zirui Zhou et al.
Joint Knowledge Editing for Information Enrichment and Probability Promotion
Wenhang Shi, Yiren Chen, Shuqing Bian et al.
Prediction-Based Adaptive Variable Ordering Heuristics for Constraint Satisfaction Problems
Jitao Xu, Yaling Wu, Hongbo Li et al.
Column-Oriented Datalog on the GPU
Yihao Sun, Sidharth Kumar, Thomas Gilray et al.
Certifying Bounds Propagation for Integer Multiplication Constraints
Matthew J. McIlree, Ciaran McCreesh
Can Generative AI Solve Your In-Context Learning Problem? A Martingale Perspective
Andrew Jesson, Nicolas Beltran-Velez, David Blei
Resolving Lexical Bias in Model Editing
Hammad Rizwan, Domenic Rosati, Ga Wu et al.
DiverSAT: A Novel and Effective Local Search Algorithm for Diverse SAT Problem
Jiaxin Liang, Junping Zhou, Minghao Yin
Minimax Optimal Two-Stage Algorithm For Moment Estimation Under Covariate Shift
Zhen Zhang, Xin Liu, Shaoli Wang et al.
DCC: Differentiable Cardinality Constraints for Partial Index Tracking
Wooyeon Jo, Hyunsouk Cho
Langevin Multiplicative Weights Update with Applications in Polynomial Portfolio Management
Yi Feng, Xiao Wang, Tian Xie
Decentralized Projected Riemannian Stochastic Recursive Momentum Method for Nonconvex Optimization
Kangkang Deng, Jiang Hu
Complete Symmetry Breaking for Finite Models
Marek Dančo, Mikoláš Janota, Michael Codish et al.
TDDBench: A Benchmark for Training data detection
Zhihao Zhu, Yi Yang, Defu Lian
Exploiting Symmetries in MUS Computation
Ignace Bleukx, Hélène Verhaeghe, Bart Bogaerts et al.
Cirbo: A New Tool for Boolean Circuit Analysis and Synthesis
Daniil Averkov, Tatiana Belova, Gregory Emdin et al.
Validating Mechanistic Interpretations: An Axiomatic Approach
Nils Palumbo, Ravi Mangal, Zifan Wang et al.
Dual-View Learning for Conversational Emotion Recognition Through Context and Emotion-Shift Modeling
Xupeng Zha, Huan Zhao, Guanghui Ye et al.
Markov Balance Satisfaction Improves Performance in Strictly Batch Offline Imitation Learning
Rishabh Agrawal, Nathan Dahlin, Rahul Jain et al.
Walking the Web of Concept-Class Relationships in Incrementally Trained Interpretable Models
Susmit Agrawal, Deepika Vemuri, Sri Siddarth Chakaravarthy P et al.
DreaMark: Rooting Watermark in Score Distillation Sampling Generated Neural Radiance Fields
Xingyu Zhu, Xiapu Luo, Xuetao Wei
Adaptive Prototype Replay for Class Incremental Semantic Segmentation
Guilin Zhu, Dongyue Wu, Changxin Gao et al.
Mitigating Feature Gap for Adversarial Robustness by Feature Disentanglement
Nuoyan Zhou, Dawei Zhou, Decheng Liu et al.
Time-Aware World Model for Adaptive Prediction and Control
Anh Nhu, Sanghyun Son, Ming Lin
Voronoi-grid-based Pareto Front Learning and Its Application to Collaborative Federated Learning
Mengmeng Chen, Xiaohu Wu, QIQI LIU et al.
Breaking Information Isolation: Accelerating MRI via Inter-sequence Mapping and Progressive Masking
Jianwei Zheng, Xiaomin Yao, Guojiang Shen et al.
On the Robustness of Distributed Machine Learning Against Transfer Attacks
Sebastien Andreina, Pascal Zimmer, Ghassan Karame
Feedback Schrödinger Bridge Matching
Panagiotis Theodoropoulos, Nikolaos Komianos, Vincent Pacelli et al.
When Can We Approximate Wide Contrastive Models with Neural Tangent Kernels and Principal Component Analysis?
Gautham Govind Anil, Pascal Esser, Debarghya Ghoshdastidar
Hierarchical Cross-Modal Alignment for Open-Vocabulary 3D Object Detection
Youjun Zhao, Jiaying Lin, Rynson W. H. Lau
Single-view Image to Novel-view Generation for Hand-Object Interactions
Zhongqun Zhang, Yihua Cheng, Eduardo Pérez-Pellitero et al.
ViewCraft3D: High-fidelity and View-Consistent 3D Vector Graphics Synthesis
Chuang Wang, Haitao Zhou, Ling Luo et al.
Cross-Modal Few-Shot Learning with Second-Order Neural Ordinary Differential Equations
Yi Zhang, Chun-Wun Cheng, Junyi He et al.
SGDiff: Scene Graph Guided Diffusion Model for Image Collaborative SegCaptioning
Xu Zhang, Jin Yuan, Hanwang Zhang et al.
Few-Shot Domain Adaptation for Learned Image Compression
Tianyu Zhang, Haotian Zhang, Yuqi Li et al.
FSL-Rectifier: Rectify Outliers in Few-Shot Learning via Test-Time Augmentation
Yunwei Bai, Ying Kiat Tan, Shiming Chen et al.
Toward Data-centric Directed Graph Learning: An Entropy-driven Approach
Xunkai Li, Zhengyu Wu, Kaichi Yu et al.
View Transformation Robustness for Multi-View 3D Object Reconstruction with Reconstruction Error-Guided View Selection
Qi Zhang, Zhouhang Luo, Tao Yu et al.
Learning the Optimal Stopping for Early Classification within Finite Horizons via Sequential Probability Ratio Test
Akinori F. Ebihara, Taiki Miyagawa, Kazuyuki Sakurai et al.
On the Trainability and Classical Simulability of Learning Matrix Product States Variationally
Afrad Basheer, Yuan Feng, Christopher Ferrie et al.
Radar: Fast Long-Context Decoding for Any Transformer
Yongchang Hao, Mengyao Zhai, Hossein Hajimirsadeghi et al.
High-Dynamic Radar Sequence Prediction for Weather Nowcasting Using Spatiotemporal Coherent Gaussian Representation
Ziye Wang, Yiran Qin, Lin Zeng et al.
Just a Few Glances: Open-Set Visual Perception with Image Prompt Paradigm
Jinrong Zhang, Penghui Wang, Chunxiao Liu et al.
RepFace: Refining Closed-Set Noise with Progressive Label Correction for Face Recognition
Jie Zhang, Xun Gong, Zhonglin Sun
Efficient Curvature-Aware Hypergradient Approximation for Bilevel Optimization
Youran Dong, Junfeng Yang, Wei Yao et al.
D^2-DPM: Dual Denoising for Quantized Diffusion Probabilistic Models
Qian Zeng, Jie Song, Han Zheng et al.
Where Precision Meets Efficiency: Transformation Diffusion Model for Point Cloud Registration
Yongzhe Yuan, Yue Wu, Xiaolong Fan et al.
KeyPose: Category-Level 6D Object Pose Estimation with Self-Adaptive Keypoints
Sheng Yu, Di-Hua Zhai, Yuanqing Xia
Boosting Perturbed Gradient Ascent for Last-Iterate Convergence in Games
Kenshi Abe, Mitsuki Sakamoto, Kaito Ariu et al.
Equirectangular Point Reconstruction for Domain Adaptive Multimodal 3D Object Detection in Adverse Weather Conditions
Jae Hyun Yoon, Jong Won Jung, Seok Bong Yoo
ImagePiece: Content-aware Re-tokenization for Efficient Image Recognition
Seungdong Yoa, Seungjun Lee, Hye-Seung Cho et al.
Two-Steps Diffusion Policy for Robotic Manipulation via Genetic Denoising
Mateo Clémente, Leo Brunswic, Yang et al.
Non-convex entropic mean-field optimization via Best Response flow
Razvan-Andrei Lascu, Mateusz Majka
DiSCO-3D : Discovering and Segmenting Sub-Concepts from Open-vocabulary Queries in NeRF
Doriand Petit, Steve Bourgeois, Vincent Gay-Bellile et al.
LIRA: Inferring Segmentation in Large Multi-modal Models with Local Interleaved Region Assistance
Zhang Li, Biao Yang, Qiang Liu et al.
Efficient Training-Free Online Routing for High-Volume Multi-LLM Serving
Fangzhou Wu, Sandeep Silwal
Repurposing Marigold for Zero-Shot Metric Depth Estimation via Defocus Blur Cues
Chinmay Talegaonkar, Nikhil Gandudi Suresh, Zachary Novack et al.
Stability and Sharper Risk Bounds with Convergence Rate $\tilde{O}(1/n^2)$
Bowei Zhu, Shaojie Li, Mingyang Yi et al.
RCP-Bench: Benchmarking Robustness for Collaborative Perception Under Diverse Corruptions
Shihang Du, Sanqing Qu, Tianhang Wang et al.
Decoding Correlation-Induced Misalignment in the Stable Diffusion Workflow for Text-to-Image Generation
Yunze Tong, Fengda Zhang, Didi Zhu et al.
Steering Guidance for Personalized Text-to-Image Diffusion Models
Sunghyun Park, Seokeon Choi, Hyoungwoo Park et al.
Beyond Random: Automatic Inner-loop Optimization in Dataset Distillation
Muquan Li, Hang Gou, Dongyang Zhang et al.
Limited Preference Data? Learning Better Reward Model with Latent Space Synthesis
Leitian Tao, Xuefeng Du, Sharon Li
DIO: Decomposable Implicit 4D Occupancy-Flow World Model
Christopher Diehl, Quinlan Sykora, Ben Agro et al.
MANGO: Multimodal Attention-based Normalizing Flow Approach to Fusion Learning
Thanh-Dat Truong, Christophe Bobda, Nitin Agarwal et al.
M-SpecGene: Generalized Foundation Model for RGBT Multispectral Vision
Kailai Zhou, Fuqiang Yang, Shixian Wang et al.
MeshMamba: State Space Models for Articulated 3D Mesh Generation and Reconstruction
Yusuke Yoshiyasu, Leyuan Sun, Ryusuke Sagawa
Gaussian Splatting Feature Fields for (Privacy-Preserving) Visual Localization
Maxime Pietrantoni, Gabriela Csurka, Torsten Sattler
Perspective-aware 3D Gaussian Inpainting with Multi-view Consistency
Yuxin CHENG, Binxiao Huang, Taiqiang Wu et al.
Learning 3D Scene Analogies with Neural Contextual Scene Maps
Junho Kim, Gwangtak Bae, Eun Sun Lee et al.
SilentStriker: Toward Stealthy Bit-Flip Attacks on Large Language Models
HAOTIAN XU, Qingsong Peng, Jie Shi et al.
Learning Robust Image Watermarking with Lossless Cover Recovery
jiale chen, Wei Wang, Chongyang Shi et al.
FlowFeat: Pixel-Dense Embedding of Motion Profiles
Nikita Araslanov, Anna Sonnweber, Daniel Cremers
CLiFT: Compressive Light-Field Tokens for Compute Efficient and Adaptive Neural Rendering
Zhengqing Wang, Yuefan Wu, Jiacheng Chen et al.
Variance-Aware Feel-Good Thompson Sampling for Contextual Bandits
Xuheng Li, Quanquan Gu
Interaction-Merged Motion Planning: Effectively Leveraging Diverse Motion Datasets for Robust Planning
Giwon Lee, Wooseong Jeong, Daehee Park et al.
DAMM-Diffusion: Learning Divergence-Aware Multi-Modal Diffusion Model for Nanoparticles Distribution Prediction
Junjie Zhou, Shouju Wang, Yuxia Tang et al.
Ditch the Denoiser: Emergence of Noise Robustness in Self-Supervised Learning from Data Curriculum
Wenquan Lu, Jiaqi Zhang, Hugues Van Assel et al.
Text-guided Visual Prompt DINO for Generic Segmentation
Yuchen Guan, Chong Sun, Canmiao Fu et al.
Seeing Through Deepfakes: A Human-Inspired Framework for Multi-Face Detection
Juan Hu, Shaojing Fan, Terence Sim
Occlusion-aware Text-Image-Point Cloud Pretraining for Open-World 3D Object Recognition
Khanh Nguyen, Ghulam Mubashar Hassan, Ajmal Mian
SPOT-Trip: Dual-Preference Driven Out-of-Town Trip Recommendation
Yinghui Liu, Hao Miao, Guojiang Shen et al.
When Can Model-Free Reinforcement Learning be Enough for Thinking?
Josiah Hanna, Nicholas Corrado
ARIA: Training Language Agents with Intention-driven Reward Aggregation
Ruihan Yang, yikai zhang, Aili Chen et al.
Boosting Multi-View Indoor 3D Object Detection via Adaptive 3D Volume Construction
Runmin Zhang, Zhu Yu, Si-Yuan Cao et al.
Private Hyperparameter Tuning with Ex-Post Guarantee
Badih Ghazi, Pritish Kamath, Alexander Knop et al.
Training the Untrainable: Introducing Inductive Bias via Representational Alignment
Vighnesh Subramaniam, David Mayo, Colin Conwell et al.
A Markov Decision Process for Variable Selection in Branch & Bound
Paul STRANG, Zacharie ALES, Côme Bissuel et al.
VADTree: Explainable Training-Free Video Anomaly Detection via Hierarchical Granularity-Aware Tree
Wenlong Li, Yifei Xu, Yuan Rao et al.
Computational Efficiency under Covariate Shift in Kernel Ridge Regression
Andrea Della Vecchia, Arnaud Mavakala Watusadisi, Ernesto De Vito et al.
ZEUS: Zero-shot Embeddings for Unsupervised Separation of Tabular Data
Patryk Marszałek, Tomasz Kuśmierczyk, Witold Wydmański et al.
Toward Material-Agnostic System Identification from Videos
Yizhou Zhao, Haoyu Chen, Chunjiang Liu et al.
REINFORCEMENT LEARNING FOR INDIVIDUAL OPTIMAL POLICY FROM HETEROGENEOUS DATA
Rui Miao, Babak Shahbaba, Annie Qu
Deep Space Weather Model: Long-Range Solar Flare Prediction from Multi-Wavelength Images
Shunya Nagashima, Komei Sugiura
Separating the 'what' and 'how' of compositional computation to enable reuse and continual learning
Haozhe Shan, Sun Minni, Lea Duncker
ADU: Adaptive Detection of Unknown Categories in Black-Box Domain Adaptation
Yushan Lai, Guowen Li, Haoyuan Liang et al.
Inference-Time Diffusion Model Distillation
Geon Yeong Park, Sang Wan Lee, Jong Ye
MoORE: SVD-based Model MoE-ization for Conflict- and Oblivion-Resistant Multi-Task Adaptation
Shen Yuan, Yin Zheng, Taifeng Wang et al.
REOrdering Patches Improves Vision Models
Declan Kutscher, David Chan, Yutong Bai et al.
Position: Biology is the Challenge Physics-Informed ML Needs to Evolve
Julien Martinelli
One Token Embedding Is Enough to Deadlock Your Large Reasoning Model
Mohan Zhang, Yihua Zhang, Jinghan Jia et al.
CAGE: Continuity-Aware edGE Network Unlocks Robust Floorplan Reconstruction
Yiyi Liu, Chunyang Liu, Bohan Wang et al.
Learning Generalizable Shape Completion with SIM(3) Equivariance
Yuqing Wang, Zhaiyu Chen, Xiaoxiang Zhu
Generalized Tensor-based Parameter-Efficient Fine-Tuning via Lie Group Transformations
Chongjie Si, Zhiyi Shi, Xuehui Wang et al.
Cross-fluctuation phase transitions reveal sampling dynamics in diffusion models
Sai Niranjan Ramachandran, Manish Krishan Lal, Suvrit Sra
Voyaging into Perpetual Dynamic Scenes from a Single View
Fengrui Tian, Tianjiao Ding, Jinqi Luo et al.
Military AI Needs Technically-Informed Regulation to Safeguard AI Research and its Applications
Riley Simmons-Edler, Jean Dong, Paul Lushenko et al.
Fusion Meets Diverse Conditions: A High-diversity Benchmark and Baseline for UAV-based Multimodal Object Detection with Condition Cues
Chen Chen, Kangcheng Bin, Hu Ting et al.
Is Less More? Exploring Token Condensation as Training-free Test-time Adaptation
Zixin Wang, Dong Gong, Sen Wang et al.
Hessian-guided Perturbed Wasserstein Gradient Flows for Escaping Saddle Points
Naoya Yamamoto, Juno Kim, Taiji Suzuki
PARALLELPROMPT: Extracting Parallelism from Large Language Model Queries
Steven Kolawole, Keshav Santhanam, Virginia Smith et al.
DONUT: A Decoder-Only Model for Trajectory Prediction
Markus Knoche, Daan de Geus, Bastian Leibe
Bidirectional Representations Augmented Autoregressive Biological Sequence Generation: Application in De Novo Peptide Sequencing
Xiang Zhang, Jiaqi Wei, Zijie Qiu et al.
CodeAssistBench (CAB): Dataset & Benchmarking for Multi-turn Chat-Based Code Assistance
Myeongsoo Kim, Shweta Garg, Baishakhi Ray et al.
DAVE: Diagnostic benchmark for Audio Visual Evaluation
Gorjan Radevski, Teodora Popordanoska, Matthew Blaschko et al.
Private Online Learning against an Adaptive Adversary: Realizable and Agnostic Settings
Bo Li, Wei Wang, Peng Ye
FIPER: Factorized Features for Robust Image Super-Resolution and Compression
Yang-Che Sun, Cheng-Yu Yeo, Ernie Chu et al.
Instance-wise Supervision-level Optimization in Active Learning
Shinnosuke Matsuo, Riku Togashi, Ryoma Bise et al.
Reducing Class-wise Confusion for Incremental Learning with Disentangled Manifolds
Huitong Chen, Yu Wang, Yan Fan et al.
AutoEdit: Automatic Hyperparameter Tuning for Image Editing
Chau Pham, Quan Dao, Mahesh Bhosale et al.
PanoSplatt3R: Leveraging Perspective Pretraining for Generalized Unposed Wide-Baseline Panorama Reconstruction
Jiahui Ren, Mochu Xiang, Jiajun Zhu et al.
Synchronizing Task Behavior: Aligning Multiple Tasks during Test-Time Training
Wooseong Jeong, Jegyeong Cho, Youngho Yoon et al.
Curvature Tuning: Provable Training-free Model Steering From a Single Parameter
Leyang Hu, Matteo Gamba, Randall Balestriero
A Sustainable AI Economy Needs Data Deals That Work for Generators
Ruoxi Jia, Luis Oala, Wenjie Xiong et al.
Conditional Latent Diffusion Models for Zero-Shot Instance Segmentation
Maximilian Ulmer, Wout Boerdijk, Rudolph Triebel et al.
Auxiliary Prompt Tuning of Vision-Language Models for Few-Shot Out-of-Distribution Detection
Wenjun Miao, Guansong Pang, Zihan Wang et al.
Causality-guided Prompt Learning for Vision-language Models via Visual Granulation
Mengyu Gao, Qiulei Dong
DirectTriGS: Triplane-based Gaussian Splatting Field Representation for 3D Generation
Xiaoliang Ju, Hongsheng Li
GeoDepth: From Point-to-Depth to Plane-to-Depth Modeling for Self-Supervised Monocular Depth Estimation
Haifeng Wu, Shuhang Gu, Lixin Duan et al.
GTPBD: A Fine-Grained Global Terraced Parcel and Boundary Dataset
Zhiwei Zhang, Zi Ye, Yibin Wen et al.
M-Net: MRI Brain Tumor Sequential Segmentation Network via Mesh-Cast
Jiacheng Lu, Hui Ding, Shiyu Zhang et al.
AstroLoc: Robust Space to Ground Image Localizer
Gabriele Berton, Alex Stoken, Carlo Masone
Taming the Untamed: Graph-Based Knowledge Retrieval and Reasoning for MLLMs to Conquer the Unknown
Bowen Wang, Zhouqiang Jiang, Yasuaki Susumu et al.
Moment- and Power-Spectrum-Based Gaussianity Regularization for Text-to-Image Models
Jisung Hwang, Jaihoon Kim, Minhyuk Sung
ImageNet-trained CNNs are not biased towards texture: Revisiting feature reliance through controlled suppression
Tom Burgert, Oliver Stoll, Paolo Rota et al.
FLOSS: Free Lunch in Open-vocabulary Semantic Segmentation
Yasser Benigmim, Mohammad Fahes, Tuan-Hung Vu et al.
High Resolution UDF Meshing via Iterative Networks
Federico Stella, Nicolas Talabot, Hieu Le et al.
Sparse-Dense Side-Tuner for efficient Video Temporal Grounding
David Pujol-Perich, Sergio Escalera, Albert Clapés
Moment Quantization for Video Temporal Grounding
Xiaolong Sun, Le Wang, Sanping Zhou et al.
TRIM: Scalable 3D Gaussian Diffusion Inference with Temporal and Spatial Trimming
Zeyuan Yin, Xiaoming Liu
To Distill or Decide? Understanding the Algorithmic Trade-off in Partially Observable RL
Yuda Song, Dhruv Rohatgi, Aarti Singh et al.
Continuous Subspace Optimization for Continual Learning
Quan Cheng, Yuanyu Wan, Lingyu Wu et al.
ReservoirTTA: Prolonged Test-time Adaptation for Evolving and Recurring Domains
Guillaume Vray, Devavrat Tomar, Xufeng Gao et al.
Odd-One-Out: Anomaly Detection by Comparing with Neighbors
Ankan Kumar Bhunia, Changjian Li, Hakan Bilen
Symbolic Representation for Any-to-Any Generative Tasks
Jiaqi Chen, Xiaoye Zhu, Yue Wang et al.
Towards Provable Emergence of In-Context Reinforcement Learning
Jiuqi Wang, Rohan Chandra, Shangtong Zhang
Distributional Training Data Attribution: What do Influence Functions Sample?
Bruno Mlodozeniec, Isaac Reid, Sam Power et al.
Spend Wisely: Maximizing Post-Training Gains in Iterative Synthetic Data Bootstrapping
Pu Yang, Yunzhen Feng, Ziyuan Chen et al.
Grasp2Grasp: Vision-Based Dexterous Grasp Translation via Schrödinger Bridges
Tao Zhong, Jonah Buchanan, Christine Allen-Blanchette
Can Text-to-Video Generation help Video-Language Alignment?
Luca Zanella, Massimiliano Mancini, Willi Menapace et al.
Robust and Diverse Multi-Agent Learning via Rational Policy Gradient
Niklas Lauffer, Ameesh Shah, Micah Carroll et al.
Pose-Guided Temporal Enhancement for Robust Low-Resolution Hand Reconstruction
Kaixin Fan, Pengfei Ren, Jingyu Wang et al.
Pretrained Reversible Generation as Unsupervised Visual Representation Learning
Rongkun Xue, Jinouwen Zhang, Yazhe Niu et al.
Auto-Search and Refinement: An Automated Framework for Gender Bias Mitigation in Large Language Models
Yue Xu, Chengyan Fu, Li Xiong et al.
Sign-In to the Lottery: Reparameterizing Sparse Training
Advait Gadhikar, Tom Jacobs, chao zhou et al.
Attribute-Missing Multi-view Graph Clustering
Bowen Zhao, Qianqian Wang, Zhengming Ding et al.
Language-Assisted Debiasing and Smoothing for Foundation Model-Based Semi-Supervised Learning
Na Zheng, Xuemeng Song, Xue Dong et al.
Princeton365: A Diverse Dataset with Accurate Camera Pose
Karhan Kayan, Stamatis Alexandropoulos, Rishabh Jain et al.
Multi-modal Topology-embedded Graph Learning for Spatially Resolved Genes Prediction from Pathology Images with Prior Gene Similarity Information
Hang Shi, Chi Changxi, Peng Wan et al.
Learning Yourself: Class-Incremental Semantic Segmentation with Language-Inspired Bootstrapped Disentanglement
Ruitao Wu, Yifan Zhao, Jia Li
Highlighting What Matters: Promptable Embeddings for Attribute-Focused Image Retrieval
Siting Li, Xiang Gao, Simon Du
From Play to Replay: Composed Video Retrieval for Temporally Fine-Grained Videos
Animesh Gupta, Jay Parmar, Ishan Rajendrakumar Dave et al.
Variance-Based Pruning for Accelerating and Compressing Trained Networks
Uranik Berisha, Jens Mehnert, Alexandru Condurache
Aligning Information Capacity Between Vision and Language via Dense-to-Sparse Feature Distillation for Image-Text matching
Yang Liu, Wentao Feng, Zhuoyao Liu et al.
Augmenting Biological Fitness Prediction Benchmarks with Landscapes Features from GraphFLA
Mingyu Huang, Shasha Zhou, Ke Li
Rethinking Detecting Salient and Camouflaged Objects in Unconstrained Scenes
Zhangjun Zhou, Yiping Li, Chunlin Zhong et al.
From Objects to Anywhere: A Holistic Benchmark for Multi-level Visual Grounding in 3D Scenes
Tianxu Wang, Zhuofan Zhang, Ziyu Zhu et al.
Guiding Noisy Label Conditional Diffusion Models with Score-based Discriminator Correction
Dat Cong, Hieu Tran, Hoang Thanh-Tung
S⁴M: Boosting Semi-Supervised Instance Segmentation with SAM
Heeji Yoon, Heeseong Shin, Eunbeen Hong et al.
Identity-preserving Distillation Sampling by Fixed-Point Iterator
SeonHwa Kim, Jiwon Kim, Soobin Park et al.
Incremental Object Keypoint Learning
Mingfu Liang, Jiahuan Zhou, Xu Zou et al.
Hyperphantasia: A Benchmark for Evaluating the Mental Visualization Capabilities of Multimodal LLMs
Mohammad Shahab Sepehri, Berk Tinaz, Zalan Fabian et al.
SVFR: A Unified Framework for Generalized Video Face Restoration
Zhiyao Wang, Xu Chen, Chengming Xu et al.
Optimizing Distributional Geometry Alignment with Optimal Transport for Generative Dataset Distillation
Xiao Cui, Yulei Qin, Wengang Zhou et al.
TrackAny3D: Transferring Pretrained 3D Models for Category-unified 3D Point Cloud Tracking
Mengmeng Wang, Haonan Wang, Yulong Li et al.
ModuLM: Enabling Modular and Multimodal Molecular Relational Learning with Large Language Models
Zhuo Chen, YIZHEN ZHENG, Huan Yee Koh et al.
AC-LoRA: (Almost) Training-Free Access Control Aware Multi-Modal LLMs
Lara Magdalena Lazier, Aritra Dhar, Vasilije Stambolic et al.
FORLA: Federated Object-centric Representation Learning with Slot Attention
Guiqiu Liao, Matjaz Jogan, Eric Eaton et al.
Amortized Variational Transdimensional Inference
Laurence Davies, Daniel MacKinlay, Rafael Oliveira et al.
Integration Matters for Learning PDEs with Backwards SDEs
Sungje Park, Stephen Tu
FreqPDE: Rethinking Positional Depth Embedding for Multi-View 3D Object Detection Transformers
Junjie Zhang, Haisheng Su, Feixiang Song et al.
TADFormer: Task-Adaptive Dynamic TransFormer for Efficient Multi-Task Learning
Seungmin Baek, Soyul Lee, Hayeon Jo et al.
Robust Equilibria in Continuous Games: From Strategic to Dynamic Robustness
Kyriakos Lotidis, Panayotis Mertikopoulos, Nicholas Bambos et al.
EasySpec: Layer-Parallel Speculative Decoding for Efficient Multi-GPU Utilization
Yize Wu, KE GAO, Ling Li et al.
VITAL: More Understandable Feature Visualization through Distribution Alignment and Relevant Information Flow
Ada Görgün, Bernt Schiele, Jonas Fischer
Not All Data are Good Labels: On the Self-supervised Labeling for Time Series Forecasting
Yuxuan Yang, Dalin Zhang, Yuxuan Liang et al.
Enhancing Numerical Prediction of MLLMs with Soft Labeling
Pei Wang, Zhaowei Cai, Hao Yang et al.
IM-Portrait: Learning 3D-aware Video Diffusion for Photorealistic Talking Heads from Monocular VideosC
Yuan Li, Ziqian Bai, Feitong Tan et al.
C3Po: Cross-View Cross-Modality Correspondence by Pointmap Prediction
Kuan Wei Huang, Brandon Li, Bharath Hariharan et al.
Soft Self-labeling and Potts Relaxations for Weakly-supervised Segmentation
Zhongwen Zhang, Yuri Boykov
Human-in-the-Loop Local Corrections of 3D Scene Layouts via Infilling
Christopher Xie, Armen Avetisyan, Henry Howard-Jenkins et al.