Papers
9,311 papers found
DesireKV: Decoupling Sensitivity and Importance for Reasoning-Aware KV Cache Compression
Pengyu Cheng, Jiacheng Wang, Tianle Chen et al.
Intervention-Aware Time Series Modeling: Capturing and Evaluating Feature Dependencies
Ibrahim Delibasoglu, Sanjay Chakraborty, Fredrik Heintz et al.
Fast Conformal Prediction Using Conditional Interquantile Intervals
Naixin Guo, Rui Luo, Zhixin Zhou
SemanticNN: Compressive and Error-Resilient Semantic Offloading for Extremely Weak Devices
Jiaming Huang, Yi Gao, Fuchang Pan et al.
Quantifying and Improving Adaptivity in Conformal Prediction Through Input Transformations
Sooyong Jang, Insup Lee
GeoNum: Bridging Numerical Continuity and Language Semantics via Geometric Embedding
Shengkai Jin, Tianyu Chen, Chonghan Gao et al.
TabFlash: Efficient Table Understanding with Progressive Question Conditioning and Token Focusing
Jongha Kim, Minseong Bae, Sanghyeok Lee et al.
Object-Centric Latent Action Learning
Albina Klepach, Alexander Nikulin, Ilya Zisman et al.
A Causal Target for Learning to Defer Under Hidden Confounding
Yanmin Li, Lihua Liu, Xin Wang et al.
BRIC: Bridging Kinematic Plans and Physical Control at Test Time
Dohun Lim, Minji Kim, Jaewoon Lim et al.
Adapt Before Continual Learning
Aojun Lu, Tao Feng, Hangjie Yuan et al.
C3RL: Rethinking the Combination of Channel-independence and Channel-mixing from Representation Learning
Shusen Ma, Yunbo Zhao, Yu Kang
Contribution-aware Token Compression for Efficient Video Understanding via Reinforcement Learning
Yinchao Ma, Qiang Zhou, Zhibin Wang et al.
CoRe-Fed: Bridging Collaborative and Representation Fairness via Federated Embedding Distillation
Noorain Mukhtiar, Adnan Mahmood, Quan Z. Sheng
Graph-Conditional Flow Matching for Relational Data Generation
Davide Scassola, Sebastiano Saccani, Luca Bortolussi
Finding Time Series Anomalies Using Granular-Ball Vector Data Description
Lifeng Shen, Liang Peng, Ruiwen Liu et al.
Towards Understanding In-Context Learning of Transformers Under Non-I.I.D. Scenarios
Qilu Shen, Yingjie Wang, Jinhai Xiang
Learning to Rank: How GNNs Solve Max-Clique and Sparse PCA
Elad Shoham, Omri Haber, Havana Rika et al.
FinMMDocR: Benchmarking Financial Multimodal Reasoning with Scenario Awareness, Document Understanding, and Multi-Step Computation
Zichen Tang, Haihong E, Rongjin Li et al.
Adaptive and Context-rich Generative Self-supervised Learning on Graphs
Yijun Tian, Chuxu Zhang, Ziyi Kou et al.
Decomposing Direct and Indirect Biases in Linear Models Under Demographic Parity Constraint
Bertille Tierny, Arthur Charpentier, Francois Hu
Efficient Modality Translation via Arbitrary Conditioning and Wasserstein Regularization
Tomas Tokar, Scott Sanner
Post Training Quantization for Efficient Dataset Condensation
Linh-Tam Tran, Sung-Ho Bae
Beyond Single-Speed Reasoning: Coordinating Fast and Slow Dynamics for Efficient World Modeling
Hongwei Wang, Yangru Huang, Guangyao Chen et al.
CoRE-Learning with Look-Ahead and Immediate Resource Allocation
Jing Wang, Xi-Tong Liu, Zhi-Hua Zhou