Papers
11,015 papers found
IsarStep: a Benchmark for High-level Mathematical Reasoning
Wenda Li, Lei Yu, Yuhuai Wu et al.
Is Attention Better Than Matrix Decomposition?
Zhengyang Geng, Meng-Hao Guo, Hongxu Chen et al.
Is Label Smoothing Truly Incompatible with Knowledge Distillation: An Empirical Study
Zhiqiang Shen, Zechun Liu, Dejia Xu et al.
Isometric Propagation Network for Generalized Zero-shot Learning
Lu Liu, Tianyi Zhou, Guodong Long et al.
Isometric Transformation Invariant and Equivariant Graph Convolutional Networks
Masanobu Horie, Naoki Morita, Toshiaki Hishinuma et al.
Isotropy in the Contextual Embedding Space: Clusters and Manifolds
Xingyu Cai, Jiaji Huang, Yuchen Bian et al.
Iterated learning for emergent systematicity in VQA
Ankit Vani, Max Schwarzer, Yuchen Lu et al.
Iterative Empirical Game Solving via Single Policy Best Response
Max Smith, Thomas Anthony, Michael Wellman
Kanerva++: Extending the Kanerva Machine With Differentiable, Locally Block Allocated Latent Memory
Jason Ramapuram, Yan Wu, Alexandros Kalousis
Knowledge Distillation as Semiparametric Inference
Tri Dao, Govinda M Kamath, Vasilis Syrgkanis et al.
Knowledge distillation via softmax regression representation learning
Jing Yang, Brais Martinez, Adrian Bulat et al.
Language-Agnostic Representation Learning of Source Code from Structure and Context
Daniel Zügner, Tobias Kirschstein, Michele Catasta et al.
Large Associative Memory Problem in Neurobiology and Machine Learning
Dmitry Krotov, John J. Hopfield
Large Batch Simulation for Deep Reinforcement Learning
Brennan Shacklett, Erik Wijmans, Aleksei Petrenko et al.
Large Scale Image Completion via Co-Modulated Generative Adversarial Networks
Shengyu Zhao, Jonathan Cui, Yilun Sheng et al.
Large-width functional asymptotics for deep Gaussian neural networks
Daniele Bracale, Stefano Favaro, Sandra Fortini et al.
Latent Convergent Cross Mapping
Edward De Brouwer, Adam Arany, Jaak Simm et al.
Latent Skill Planning for Exploration and Transfer
Kevin Xie, Homanga Bharadhwaj, Danijar Hafner et al.
Layer-adaptive Sparsity for the Magnitude-based Pruning
Jaeho Lee, Sejun Park, Sangwoo Mo et al.
LEAF: A Learnable Frontend for Audio Classification
Neil Zeghidour, Olivier Teboul, Félix de Chaumont Quitry et al.
Learnable Embedding sizes for Recommender Systems
Siyi Liu, Chen Gao, Yihong Chen et al.
Learning Accurate Entropy Model with Global Reference for Image Compression
Yichen Qian, Zhiyu Tan, Xiuyu Sun et al.
Learning advanced mathematical computations from examples
Francois Charton, Amaury Hayat, Guillaume Lample
Learning a Latent Search Space for Routing Problems using Variational Autoencoders
André Hottung, Bhanu Bhandari, Kevin Tierney