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• Learning Sparse Sharing Architectures for Multiple Tasks

  Tianxiang Sun, Yunfan Shao, Xiaonan Li, Pengfei Liu, Hang Yan, Xipeng Qiu, Xuanjing Huang

  8936-8943

  2020-04-03

• Almost Unsupervised Learning for Dense Crowd Counting

  Deepak Babu Sam, Neeraj N Sajjan, Himanshu Maurya, R. Venkatesh Babu

  8868-8875

  2019-07-17

• CASTER: Predicting Drug Interactions with Chemical Substructure Representation

  Kexin Huang, Cao Xiao, Trong Hoang, Lucas Glass, Jimeng Sun

  702-709

  2020-04-03

• AdaFilter: Adaptive Filter Fine-Tuning for Deep Transfer Learning

  Yunhui Guo, Yandong Li, Liqiang Wang, Tajana Rosing

  4060-4066

  2020-04-03

• A Multi-Scale Approach for Graph Link Prediction

  Lei Cai, Shuiwang Ji

  3308-3315

  2020-04-03

• LazyDiT: Lazy Learning for the Acceleration of Diffusion Transformers

  Xuan Shen, Zhao Song, Yufa Zhou, Bo Chen, Yanyu Li, Yifan Gong, Kai Zhang, Hao Tan, Jason Kuen, Henghui Ding, Zhihao Shu, Wei Niu, Pu Zhao, Yanzhi Wang, Jiuxiang Gu

  20409-20417

  2025-04-11

• Improving Generalization of Universal Adversarial Perturbation via Dynamic Maximin Optimization

  Yechao Zhang, Yingzhe Xu, Junyu Shi, Leo Yu Zhang, Shengshan Hu, Minghui Li, Yanjun Zhang

  10293-10301

  2025-04-11

• LabelForest: Non-Parametric Semi-Supervised Learning for Activity Recognition

  Yuchao Ma, Hassan Ghasemzadeh

  4520-4527

  2019-07-17

• Manifold-Based Verbalizer Space Re-embedding for Tuning-Free Prompt-Based Classification

  Haochun Wang, Sendong Zhao, Chi Liu, Nuwa Xi, MuZhen Cai, Bing Qin , Ting Liu

  19126-19134

  2024-03-24

• Improving Bayesian Neural Networks by Adversarial Sampling

  Jiaru Zhang, Yang Hua, Tao Song, Hao Wang, Zhengui Xue, Ruhui Ma, Haibing Guan

  10110-10117

  2022-06-28

• Modeling Inter-Intra Heterogeneity for Graph Federated Learning

  Wentao Yu, Shuo Chen, Yongxin Tong, Tianlong Gu, Chen Gong

  22236-22244

  2025-04-11

• Beyond Neuron-Level Sparsity: Achieving Faithful and Interpretable LLMs with Mixture of Decoders

  Grigorios Chrysos

  39811-39812

  2026-03-14

• K-BERT: Enabling Language Representation with Knowledge Graph

  Weijie Liu, Peng Zhou, Zhe Zhao, Zhiruo Wang, Qi Ju, Haotang Deng, Ping Wang

  2901-2908

  2020-04-03

• Non-Local U-Nets for Biomedical Image Segmentation

  Zhengyang Wang, Na Zou, Dinggang Shen, Shuiwang Ji

  6315-6322

  2020-04-03

• Incentive-Boosted Federated Crowdsourcing

  Xiangping Kang, Guoxian Yu, Jun Wang, Wei Guo, Carlotta Domeniconi, Jinglin Zhang

  6021-6029

  2023-06-26

• S5: Scalable Semi-Supervised Semantic Segmentation in Remote Sensing

  Liang Lv, Di Wang, Jing Zhang, Lefei Zhang

  7726-7734

  2026-03-14

• Evidential Conditional Neural Processes

  Deep Shankar Pandey, Qi Yu

  9389-9397

  2023-06-26

• Predicting Real-World Penny Auction Durations by Integrating Game Theory and Machine Learning

  Yujia Wang, Haoran Yu

  9926-9934

  2024-03-24

• Collaborative Dynamic Sparse Topic Regression with User Profile Evolution for Item Recommendation

  Li Gao, Jia Wu, Chuan Zhou, Yue Hu

  2017-02-12

• Ready for You When You Are Back: Content-Driven Session-Based Recommendation for Continuity of Experience

  Brijraj Singh, Sonal , Niranjan Pedanekar

  12533-12540

  2025-04-11

• Solving Online Threat Screening Games using Constrained Action Space Reinforcement Learning

  Shah Sanket, Arunesh Sinha, Pradeep Varakantham, Andrew Perrault, Milind Tambe

  2226-2235

  2020-04-03

• Disjunctive Temporal Problems under Structural Restrictions

  Konrad K Dabrowski, Peter Jonsson, Sebastian Ordyniak, George Osipov

  3724-3732

  2021-05-18

• An Improved Generic Bet-and-Run Strategy with Performance Prediction for Stochastic Local Search

  Thomas Weise, Zijun Wu, Markus Wagner

  2395-2402

  2019-07-17

• Faster Algorithms for Weak Backdoors

  Serge Gaspers, Andrew Kaploun

  3741-3748

  2022-06-28

• An Improved Quasi-Polynomial Algorithm for Approximate Well-Supported Nash Equilibria

  Michail Fasoulakis, Evangelos Markakis

  1926-1932

  2019-07-17