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Publication search results
found 6,165 matches
- 2023
- Ningyu Zhang, Lei Li, Xiang Chen, Xiaozhuan Liang, Shumin Deng, Huajun Chen:
Multimodal Analogical Reasoning over Knowledge Graphs. ICLR 2023 - Wei Qiu, Xiao Ma, Bo An, Svetlana Obraztsova, Shuicheng Yan, Zhongwen Xu:
RPM: Generalizable Multi-Agent Policies for Multi-Agent Reinforcement Learning. ICLR 2023 - Ahmed Khaled, Chi Jin:
Faster federated optimization under second-order similarity. ICLR 2023 - Zaid Khan, Yun Fu:
Contrastive Alignment of Vision to Language Through Parameter-Efficient Transfer Learning. ICLR 2023 - Thomas Laurent, James von Brecht, Xavier Bresson:
Long-Tailed Learning Requires Feature Learning. ICLR 2023 - Yoonho Lee, Annie S. Chen, Fahim Tajwar, Ananya Kumar, Huaxiu Yao, Percy Liang, Chelsea Finn:
Surgical Fine-Tuning Improves Adaptation to Distribution Shifts. ICLR 2023 - Chen Huang, Hanlin Goh, Jiatao Gu, Joshua M. Susskind:
MAST: Masked Augmentation Subspace Training for Generalizable Self-Supervised Priors. ICLR 2023 - Tao Shen, Xiubo Geng, Chongyang Tao, Can Xu, Xiaolong Huang, Binxing Jiao, Linjun Yang, Daxin Jiang:
LexMAE: Lexicon-Bottlenecked Pretraining for Large-Scale Retrieval. ICLR 2023 - Christian Haase, Christoph Hertrich, Georg Loho:
Lower Bounds on the Depth of Integral ReLU Neural Networks via Lattice Polytopes. ICLR 2023 - Daniel D. Johnson, Ayoub El Hanchi, Chris J. Maddison:
Contrastive Learning Can Find An Optimal Basis For Approximately View-Invariant Functions. ICLR 2023 - Wenbo Gong, Joel Jennings, Cheng Zhang, Nick Pawlowski:
Rhino: Deep Causal Temporal Relationship Learning with History-dependent Noise. ICLR 2023 - Nicklas Hansen, Yixin Lin, Hao Su, Xiaolong Wang, Vikash Kumar, Aravind Rajeswaran:
MoDem: Accelerating Visual Model-Based Reinforcement Learning with Demonstrations. ICLR 2023 - Zitao Liu, Qiongqiong Liu, Jiahao Chen, Shuyan Huang, Weiqi Luo:
simpleKT: A Simple But Tough-to-Beat Baseline for Knowledge Tracing. ICLR 2023 - Steffen Jung, Jovita Lukasik, Margret Keuper:
Neural Architecture Design and Robustness: A Dataset. ICLR 2023 - Siqi Miao, Yunan Luo, Mia Liu, Pan Li:
Interpretable Geometric Deep Learning via Learnable Randomness Injection. ICLR 2023 - Jiefeng Chen, Timothy Nguyen, Dilan Görür, Arslan Chaudhry:
Is Forgetting Less a Good Inductive Bias for Forward Transfer? ICLR 2023 - Zichao Wang, Weili Nie, Zhuoran Qiao, Chaowei Xiao, Richard G. Baraniuk, Anima Anandkumar:
Retrieval-based Controllable Molecule Generation. ICLR 2023 - Christopher Jung, Georgy Noarov, Ramya Ramalingam, Aaron Roth:
Batch Multivalid Conformal Prediction. ICLR 2023 - Dian Wang, Jung Yeon Park, Neel Sortur, Lawson L. S. Wong, Robin Walters, Robert Platt:
The Surprising Effectiveness of Equivariant Models in Domains with Latent Symmetry. ICLR 2023 - Junnan Li, Silvio Savarese, Steven C. H. Hoi:
Masked Unsupervised Self-training for Label-free Image Classification. ICLR 2023 - Matt Jones, Tyler R. Scott, Mengye Ren, Gamaleldin Fathy Elsayed, Katherine L. Hermann, David Mayo, Michael Curtis Mozer:
Learning in temporally structured environments. ICLR 2023 - Yuning Cui, Yi Tao, Zhenshan Bing, Wenqi Ren, Xinwei Gao, Xiaochun Cao, Kai Huang, Alois Knoll:
Selective Frequency Network for Image Restoration. ICLR 2023 - James Oldfield, Christos Tzelepis, Yannis Panagakis, Mihalis Nicolaou, Ioannis Patras:
PandA: Unsupervised Learning of Parts and Appearances in the Feature Maps of GANs. ICLR 2023 - Da-Wei Zhou, Qi-Wei Wang, Han-Jia Ye, De-Chuan Zhan:
A Model or 603 Exemplars: Towards Memory-Efficient Class-Incremental Learning. ICLR 2023 - Satoshi Hara, Yuichi Yoshida:
Average Sensitivity of Decision Tree Learning. ICLR 2023 - Takashi Matsubara, Takaharu Yaguchi:
FINDE: Neural Differential Equations for Finding and Preserving Invariant Quantities. ICLR 2023 - Takashi Ishida, Ikko Yamane, Nontawat Charoenphakdee, Gang Niu, Masashi Sugiyama:
Is the Performance of My Deep Network Too Good to Be True? A Direct Approach to Estimating the Bayes Error in Binary Classification. ICLR 2023 - Yoonho Lee, Huaxiu Yao, Chelsea Finn:
Diversify and Disambiguate: Out-of-Distribution Robustness via Disagreement. ICLR 2023 - Weiran Huang, Mingyang Yi, Xuyang Zhao, Zihao Jiang:
Towards the Generalization of Contrastive Self-Supervised Learning. ICLR 2023 - Zhuosheng Zhang, Aston Zhang, Mu Li, Alex Smola:
Automatic Chain of Thought Prompting in Large Language Models. ICLR 2023
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