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• Transient Glimpses: Unveiling Occluded Backgrounds through the Spike Camera

  Jiyuan Zhang, Shiyan Chen, Yajing Zheng, Zhaofei Yu, Tiejun Huang

  637-645

  2024-03-25

• MetaAct-RL: Training Language Models for Reasoning Through Meta-Action-Based Reinforcement Learning

  Zhiheng Xi, Yuhui Wang, Yiwen Ding, Guanyu Li, Senjie Jin, Shichun Liu, Jixuan Huang, Dingwen Yang, Jiafu Tang, Boyang Hong, Junjie Ye, Shihan Dou, Ming Zhang, Jian Guan, Wei Wu, Rui Zheng, Tao Gui, Qi Zhang, Xuanjing Huang

  34006-34015

  2026-03-14

• Democratizing Constraint Satisfaction Problems through Machine Learning

  Mohit Kumar, Samuel Kolb, Clement Gautrais, Luc De Raedt

  16057-16059

  2021-05-18

• Learning Temporally and Semantically Consistent Unpaired Video-to-Video Translation through Pseudo-Supervision from Synthetic Optical Flow

  Kaihong Wang, Kumar Akash, Teruhisa Misu

  2477-2486

  2022-06-28

• VQTalker: Towards Multilingual Talking Avatars Through Facial Motion Tokenization

  Tao Liu, Ziyang Ma, Qi Chen, Feilong Chen, Shuai Fan, Xie Chen, Kai Yu

  5586-5594

  2025-04-11

• Improving Long-Horizon Imitation through Instruction Prediction

  Joey Hejna, Pieter Abbeel, Lerrel Pinto

  7857-7865

  2023-06-26

• Alleviating Shifted Distribution in Human Preference Alignment through Meta-Learning

  Shihan Dou, Yan Liu, Enyu Zhou, Songyang Gao, Tianlong Li, Limao Xiong, Xin Zhao, Haoxiang Jia, Junjie Ye, Rui Zheng, Tao Gui, Qi Zhang, Xuanjing Huang

  23805-23813

  2025-04-11

• NURBGen: High-Fidelity Text-to-CAD Generation Through LLM-Driven NURBS Modeling

  Muhammad Usama, Mohammad Sadil Khan, Didier Stricker, Muhammad Zeshan Afzal

  9603-9611

  2026-03-14

• What Do You MEME? Generating Explanations for Visual Semantic Role Labelling in Memes

  Shivam Sharma, Siddhant Agarwal, Tharun Suresh, Preslav Nakov, Md. Shad Akhtar, Tanmoy Chakraborty

  9763-9771

  2023-06-26

• Toward a Taxonomy and Computational Models of Abnormalities in Images

  Babak Saleh, Ahmed Elgammal, Jacob Feldman, Ali Farhadi

  2016-03-05

• "8 Amazing Secrets for Getting More Clicks": Detecting Clickbaits in News Streams Using Article Informality

  Prakhar Biyani, Kostas Tsioutsiouliklis, John Blackmer

  2016-02-21

• Image Privacy Prediction Using Deep Features

  Ashwini Tonge, Cornelia Caragea

  2016-03-05

• Improving Microblog Retrieval from Exterior Corpus by Automatically Constructing Microblogging Corpus

  Wenting Tu, David Cheung, Nikos Mamoulis

  2015-03-04

• On the Affinity, Rationality, and Diversity of Hierarchical Topic Modeling

  Xiaobao Wu, Fengjun Pan, Thong Nguyen, Yichao Feng, Chaoqun Liu, Cong-Duy Nguyen, Anh Tuan Luu

  19261-19269

  2024-03-24

• TMPNN: High-Order Polynomial Regression Based on Taylor Map Factorization

  Andrei Ivanov, Stefan Ailuro

  12726-12734

  2024-03-24

• NAS-LID: Efficient Neural Architecture Search with Local Intrinsic Dimension

  Xin He, Jiangchao Yao, Yuxin Wang, Zhenheng Tang, Ka Chun Cheung, Simon See, Bo Han, Xiaowen Chu

  7839-7847

  2023-06-26

• SkateboardAI: The Coolest Video Action Recognition for Skateboarding (Student Abstract)

  Hanxiao Chen

  16184-16185

  2024-07-15

• Semi-Supervised Matrix Completion for Cross-Lingual Text Classification

  Min Xiao, Yuhong Guo

  2014-06-21

• PREFER: Prompt Ensemble Learning via Feedback-Reflect-Refine

  Chenrui Zhang, Lin Liu, Chuyuan Wang, Xiao Sun, Hongyu Wang, Jinpeng Wang, Mingchen Cai

  19525-19532

  2024-03-24

• DiFA: Differentiable Feature Acquisition

  Aritra Ghosh, Andrew Lan

  7705-7713

  2023-06-26

• Building Variable-Sized Models via Learngene Pool

  Boyu Shi, Shiyu Xia, Xu Yang, Haokun Chen, Zhiqiang Kou, Xin Geng

  14946-14954

  2024-03-24

• Continual Learning by Using Information of Each Class Holistically

  Wenpeng Hu, Qi Qin, Mengyu Wang, Jinwen Ma, Bing Liu

  7797-7805

  2021-05-18

• `Less Than One'-Shot Learning: Learning N Classes From M < N Samples

  Ilia Sucholutsky, Matthias Schonlau

  9739-9746

  2021-05-18

• Robustly Train Normalizing Flows via KL Divergence Regularization

  Kun Song, Ruben Solozabal, Hao Li, Martin Takáč, Lu Ren, Fakhri Karray

  15047-15055

  2024-03-24

• Leaving the Nest: Going beyond Local Loss Functions for Predict-Then-Optimize

  Sanket Shah, Bryan Wilder, Andrew Perrault, Milind Tambe

  14902-14909

  2024-03-24