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• Decoding Hidden Markov Models Faster Than Viterbi Via Online Matrix-Vector (max, +)-Multiplication

  Massimo Cairo, Gabriele Farina, Romeo Rizzi

  2016-02-21

• Perturbating, Tuning, and Collaborating: Harnessing Vision Foundation Models for Single Domain Generalization on Medical Imaging

  Chuang Liu, Yichao Cao, YingYing Zhang, Xiu Su, Haogang Zhu

  5370-5378

  2025-04-11

• Transferable Model-agnostic Vision-Language Model Adaptation for Efficient Weak-to-Strong Generalization

  Jihwan Park, Taehoon Song, Sanghyeok Lee, Miso Choi, Hyunwoo J. Kim

  24764-24772

  2026-03-14

• MedBench: A Large-Scale Chinese Benchmark for Evaluating Medical Large Language Models

  Yan Cai, Linlin Wang, Ye Wang, Gerard de Melo, Ya Zhang, Yanfeng Wang, Liang He

  17709-17717

  2024-03-24

• Automatic Parameter Tying: A New Approach for Regularized Parameter Learning in Markov Networks

  Li Chou, Pracheta Sahoo, Somdeb Sarkhel, Nicholas Ruozzi, Vibhav Gogate

  2018-04-29

• GEM: A Scale-Aware and Distribution-Sensitive Sparse Fine-Tuning Framework for Effective Downstream Adaptation

  Sungmin Kang, Jisoo Kim, Salman Avestimehr, Sunwoo Lee

  22509-22517

  2026-03-14

• MetaMT, a Meta Learning Method Leveraging Multiple Domain Data for Low Resource Machine Translation

  Rumeng Li, Xun Wang, Hong Yu

  8245-8252

  2020-04-03

• Vision Transformers Beat WideResNets on Small Scale Datasets Adversarial Robustness

  Juntao Wu, Ziyu Song, Xiaoyu Zhang, Shujun Xie, Longxin Lin, Ke Wang

  886-894

  2025-04-11

• Robust Tracking via Mamba-based Context-aware Token Learning

  Jinxia Xie, Bineng Zhong, Qihua Liang, Ning Li, Zhiyi Mo, Shuxiang Song

  8727-8735

  2025-04-11

• TimeBill: Time-Budgeted Inference for Large Language Models

  Qi Fan, An Zou, Yehan Ma

  30620-30628

  2026-03-14

• Learning Compact Representations of Time-Varying Processes

  Philip Bachman, Doina Precup

  1748-1749

  2011-08-04

• SubSpace Capsule Network

  Marzieh Edraki, Nazanin Rahnavard, Mubarak Shah

  10745-10753

  2020-04-03

• Visual Definition Modeling: Challenging Vision & Language Models to Define Words and Objects

  Bianca Scarlini, Tommaso Pasini, Roberto Navigli

  11267-11275

  2022-06-28

• Loan Fraud Users Detection in Online Lending Leveraging Multiple Data Views

  Sha Zhao, Yongrui Huang, Ling Chen, Chunping Wang, Shijian Li, Lei Chen, Gang Pan

  5428-5436

  2023-06-26

• Temporal Knowledge Graph Reasoning with Historical Contrastive Learning

  Yi Xu, Junjie Ou, Hui Xu, Luoyi Fu

  4765-4773

  2023-06-26

• V2C-CBM: Building Concept Bottlenecks with Vision-to-Concept Tokenizer

  Hangzhou He, Lei Zhu, Xinliang Zhang, Shuang Zeng, Qian Chen, Yanye Lu

  3401-3409

  2025-04-11

• Improving the Adversarial Transferability of Vision Transformers with Virtual Dense Connection

  Jianping Zhang, Yizhan Huang, Zhuoer Xu, Weibin Wu, Michael R. Lyu

  7133-7141

  2024-03-24

• Topology-aware Knowledge Preservation for Class-Incremental Learning

  Han Zang, Yongfeng Dong, Linhao Li, Liang Yang, Yu Wang

  28059-28067

  2026-03-14

• Large Language Models Are Clinical Reasoners: Reasoning-Aware Diagnosis Framework with Prompt-Generated Rationales

  Taeyoon Kwon, Kai Tzu-iunn Ong, Dongjin Kang, Seungjun Moon, Jeong Ryong Lee, Dosik Hwang, Beomseok Sohn, Yongsik Sim, Dongha Lee, Jinyoung Yeo

  18417-18425

  2024-03-24

• Benchmarking Large Language Models on Controllable Generation under Diversified Instructions

  Yihan Chen, Benfeng Xu, Quan Wang, Yi Liu, Zhendong Mao

  17808-17816

  2024-03-24

• Training-Time-Friendly Network for Real-Time Object Detection

  Zili Liu, Tu Zheng, Guodong Xu, Zheng Yang, Haifeng Liu, Deng Cai

  11685-11692

  2020-04-03

• V2Meow: Meowing to the Visual Beat via Video-to-Music Generation

  Kun Su, Judith Yue Li, Qingqing Huang, Dima Kuzmin, Joonseok Lee, Chris Donahue, Fei Sha, Aren Jansen, Yu Wang, Mauro Verzetti, Timo Denk

  4952-4960

  2024-03-24

• Debiasing Diffusion Priors via 3D Attention for Consistent Gaussian Splatting

  Shilong Jin, Haoran Duan, Litao Hua, Wentao Huang, Yuan Zhou

  5521-5529

  2026-03-14

• Few-step Flow for 3D Generation via Marginal-Data Transport Distillation

  Zanwei Zhou, Taoran Yi, Jiemin Fang, Chen Yang, Lingxi Xie, Xinggang Wang, Wei Shen, Qi Tian

  13853-13861

  2026-03-14

• Gradient-Based Sample Selection for Black-Box Universal Domain Adaptation

  Qiuyan He, Minghua Deng

  17114-17122

  2025-04-11