Paper Papers

How to Trade Off the Quantity and Capacity of Teacher Ensemble: Learning Categorical Distribution to Stochastically Employ a Teacher for Distillation

Zixiang Ding, Guoqing Jiang, Shuai Zhang et al.

How to Use the Metropolis Algorithm for Multi-Objective Optimization?

Weijie Zheng, Mingfeng Li, Renzhong Deng et al.

HR-Pro: Point-Supervised Temporal Action Localization via Hierarchical Reliability Propagation

Huaxin Zhang, Xiang Wang, Xiaohao Xu et al.

HybridGait: A Benchmark for Spatial-Temporal Cloth-Changing Gait Recognition with Hybrid Explorations

Yilan Dong, Chunlin Yu, Ruiyang Ha et al.

Hybrid-SORT: Weak Cues Matter for Online Multi-Object Tracking

Mingzhan Yang, Guangxin Han, Bin Yan et al.

Hybrid-Supervised Dual-Search: Leveraging Automatic Learning for Loss-Free Multi-Exposure Image Fusion

Guanyao Wu, Hongming Fu, Jinyuan Liu et al.

Hyperbolic Graph Diffusion Model

Lingfeng Wen, Xuan Tang, Mingjie Ouyang et al.

Hypercorrelation Evolution for Video Class-Incremental Learning

Sen Liang, Kai Zhu, Wei Zhai et al.

HyperEditor: Achieving Both Authenticity and Cross-Domain Capability in Image Editing via Hypernetworks

Hai Zhang, Chunwei Wu, Guitao Cao et al.

HyperFast: Instant Classification for Tabular Data

David Bonet, Daniel Mas Montserrat, Xavier Giró-i-Nieto et al.

Hypergraph-Guided Disentangled Spectrum Transformer Networks for Near-Infrared Facial Expression Recognition

Bingjun Luo, Haowen Wang, Jinpeng Wang et al.

Hypergraph Joint Representation Learning for Hypervertices and Hyperedges via Cross Expansion

Yuguang Yan, Yuanlin Chen, Shibo Wang et al.

Hypergraph Neural Architecture Search

Wei Lin, Xu Peng, Zhengtao Yu et al.

Hyperspectral Image Reconstruction via Combinatorial Embedding of Cross-Channel Spatio-Spectral Clues

Xingxing Yang, Jie Chen, Zaifeng Yang

Hypothesis, Verification, and Induction: Grounding Large Language Models with Self-Driven Skill Learning

Shaohui Peng, Xing Hu, Qi Yi et al.

ICAR: Image-Based Complementary Auto Reasoning

Xijun Wang, Anqi Liang, Junbang Liang et al.

Identifiability of Direct Effects from Summary Causal Graphs

Simon Ferreira, Charles Assaad

Identification for Tree-Shaped Structural Causal Models in Polynomial Time

Aaryan Gupta, Markus Bläser

Identification of Causal Structure in the Presence of Missing Data with Additive Noise Model

Zhengrui Chen, Liying Lu, Ziyang Yuan et al.

Identification of Causal Structure with Latent Variables Based on Higher Order Cumulants

Wei Chen, Zhiyi Huang, Ruichu Cai et al.

Identification of Necessary Semantic Undertakers in the Causal View for Image-Text Matching

Huatian Zhang, Lei Zhang, Kun Zhang et al.

iDet3D: Towards Efficient Interactive Object Detection for LiDAR Point Clouds

Dongmin Choi, Wonwoo Cho, Kangyeol Kim et al.

IGAMT: Privacy Preserved Electronic Health Record Synthetic Approach with Heterogeneity and Irregularity

Wenjie Wang, Pengfei Tang, Jian Lou et al.

IINet: Implicit Intra-inter Information Fusion for Real-Time Stereo Matching

Ximeng Li, Chen Zhang, Wanjuan Su et al.

Image as a Language: Revisiting Scene Text Recognition via Balanced, Unified and Synchronized Vision

Language Reasoning Network

Image Captioning with Multi-Context Synthetic Data

Image Content Generation with Causal Reasoning

Xiaochuan Li, Baoyu Fan, Run Zhang et al.

Image Safeguarding: Reasoning with Conditional Vision Language Model and Obfuscating Unsafe Content Counterfactually

Mazal Bethany, Brandon Wherry, Nishant Vishwamitra et al.

Imagine, Initialize, and Explore: An Effective Exploration Method in Multi-Agent Reinforcement Learning

Zeyang Liu, Lipeng Wan, Xinrui Yang et al.

Imitate the Good and Avoid the Bad: An Incremental Approach to Safe Reinforcement Learning

Huy Hoang, Tien Mai, Pradeep Varakantham

Imitation of Life: A Search Engine for Biologically Inspired Design

Hen Emuna, Nadav Borenstein, Xin Qian et al.

Impartial Adversarial Distillation: Addressing Biased Data-Free Knowledge Distillation via Adaptive Constrained Optimization

Dongping Liao, Xitong Gao, Chengzhong Xu

Implications of Distance over Redistricting Maps: Central and Outlier Maps

Seyed Esmaeili, Darshan Chakraborty, Hayley Grape et al.

Implicit Modeling of Non-rigid Objects with Cross-Category Signals

Yuchun Liu, Benjamin Planche, Meng Zheng et al.

Improved Anonymous Multi Agent Path Finding Algorithm

Zain Alabedeen Ali, Konstantin Yakovlev

Improved Bandits in Many-to-One Matching Markets with Incentive Compatibility

Fang Kong, Shuai Li

Improved Graph Contrastive Learning for Short Text Classification

Yonghao Liu, Lan Huang, Fausto Giunchiglia et al.

Improved Metric Distortion via Threshold Approvals

Elliot Anshelevich, Aris Filos-Ratsikas, Christopher Jerrett et al.

Improve Robustness of Reinforcement Learning against Observation Perturbations via l∞ Lipschitz Policy Networks

Buqing Nie, Jingtian Ji, Yangqing Fu et al.

Improving Audio-Visual Segmentation with Bidirectional Generation

Dawei Hao, Yuxin Mao, Bowen He et al.

Improving Automatic VQA Evaluation Using Large Language Models

Oscar Mañas, Benno Krojer, Aishwarya Agrawal

Improving Cross-Modal Alignment with Synthetic Pairs for Text-Only Image Captioning

Zhiyue Liu, Jinyuan Liu, Fanrong Ma

Improving Diffusion-Based Image Restoration with Error Contraction and Error Correction

Qiqi Bao, Zheng Hui, Rui Zhu et al.

Improving Distinguishability of Class for Graph Neural Networks

Dongxiao He, Shuwei Liu, Zhizhi Yu et al.

Improving Expressive Power of Spectral Graph Neural Networks with Eigenvalue Correction

Kangkang Lu, Yanhua Yu, Hao Fei et al.

Improving Factual Error Correction by Learning to Inject Factual Errors

Xingwei He, Qianru Zhang, A-Long Jin et al.

Improving GNN Calibration with Discriminative Ability: Insights and Strategies

Yujie Fang, Xin Li, Qianyu Chen et al.

Improving Knowledge Extraction from LLMs for Task Learning through Agent Analysis

James Kirk, Robert Wray, Peter Lindes et al.

Improving Neural Network Generalization on Data-Limited Regression with Doubly-Robust Boosting

Improving Open-Domain Dialogue Response Generation with Multi-Source Multilingual Commonsense Knowledge

Sixing Wu, Jiong Yu, Jiahao Chen et al.