Papers
11,015 papers found
Surrogate NAS Benchmarks: Going Beyond the Limited Search Spaces of Tabular NAS Benchmarks
Arber Zela, Julien Niklas Siems, Lucas Zimmer et al.
switch-GLAT: Multilingual Parallel Machine Translation Via Code-Switch Decoder
Zhenqiao Song, Hao Zhou, Lihua Qian et al.
Switch to Generalize: Domain-Switch Learning for Cross-Domain Few-Shot Classification
Zhengdong Hu, Yifan Sun, Yi Yang
Symbolic Learning to Optimize: Towards Interpretability and Scalability
Wenqing Zheng, Tianlong Chen, Ting-Kuei Hu et al.
Synchromesh: Reliable Code Generation from Pre-trained Language Models
Gabriel Poesia, Alex Polozov, Vu Le et al.
Tackling the Generative Learning Trilemma with Denoising Diffusion GANs
Zhisheng Xiao, Karsten Kreis, Arash Vahdat
TAda! Temporally-Adaptive Convolutions for Video Understanding
Ziyuan Huang, Shiwei Zhang, Liang Pan et al.
Taming Sparsely Activated Transformer with Stochastic Experts
Simiao Zuo, Xiaodong Liu, Jian Jiao et al.
TAMP-S2GCNets: Coupling Time-Aware Multipersistence Knowledge Representation with Spatio-Supra Graph Convolutional Networks for Time-Series Forecasting
Yuzhou Chen, Ignacio Segovia-Dominguez, Baris Coskunuzer et al.
TAPEX: Table Pre-training via Learning a Neural SQL Executor
Qian Liu, Bei Chen, Jiaqi Guo et al.
Target-Side Input Augmentation for Sequence to Sequence Generation
Shufang Xie, Ang Lv, Yingce Xia et al.
Task Affinity with Maximum Bipartite Matching in Few-Shot Learning
Cat Phuoc Le, Juncheng Dong, Mohammadreza Soltani et al.
Task-Induced Representation Learning
Jun Yamada, Karl Pertsch, Anisha Gunjal et al.
Task Relatedness-Based Generalization Bounds for Meta Learning
Jiechao Guan, Zhiwu Lu
Temporal Efficient Training of Spiking Neural Network via Gradient Re-weighting
Shikuang Deng, Yuhang Li, Shanghang Zhang et al.
The Boltzmann Policy Distribution: Accounting for Systematic Suboptimality in Human Models
Cassidy Laidlaw, Anca Dragan
The Close Relationship Between Contrastive Learning and Meta-Learning
Renkun Ni, Manli Shu, Hossein Souri et al.
The Effects of Invertibility on the Representational Complexity of Encoders in Variational Autoencoders
Divyansh Pareek, Andrej Risteski
The Effects of Reward Misspecification: Mapping and Mitigating Misaligned Models
Alexander Pan, Kush Bhatia, Jacob Steinhardt
The Efficiency Misnomer
Mostafa Dehghani, Yi Tay, Anurag Arnab et al.
The Evolution of Uncertainty of Learning in Games
Yun Kuen Cheung, Georgios Piliouras, Yixin Tao
The Geometry of Memoryless Stochastic Policy Optimization in Infinite-Horizon POMDPs
Johannes Müller, Guido Montufar
The Hidden Convex Optimization Landscape of Regularized Two-Layer ReLU Networks: an Exact Characterization of Optimal Solutions
Yifei Wang, Jonathan Lacotte, Mert Pilanci