Papers
11,015 papers found
Counterfactuals uncover the modular structure of deep generative models
Michel Besserve, Arash Mehrjou, Rémy Sun et al.
Critical initialisation in continuous approximations of binary neural networks
George Stamatescu, Federica Gerace, Carlo Lucibello et al.
Cross-Domain Few-Shot Classification via Learned Feature-Wise Transformation
Hung-Yu Tseng, Hsin-Ying Lee, Jia-Bin Huang et al.
Cross-Lingual Ability of Multilingual BERT: An Empirical Study
Karthikeyan K, Zihan Wang, Stephen Mayhew et al.
Cross-lingual Alignment vs Joint Training: A Comparative Study and A Simple Unified Framework
Zirui Wang*, Jiateng Xie*, Ruochen Xu et al.
Curriculum Loss: Robust Learning and Generalization against Label Corruption
Yueming Lyu, Ivor W. Tsang
Curvature Graph Network
Ze Ye, Kin Sum Liu, Tengfei Ma et al.
Cyclical Stochastic Gradient MCMC for Bayesian Deep Learning
Ruqi Zhang, Chunyuan Li, Jianyi Zhang et al.
Data-dependent Gaussian Prior Objective for Language Generation
Zuchao Li, Rui Wang, Kehai Chen et al.
Data-Independent Neural Pruning via Coresets
Ben Mussay, Margarita Osadchy, Vladimir Braverman et al.
DBA: Distributed Backdoor Attacks against Federated Learning
Chulin Xie, Keli Huang, Pin-Yu Chen et al.
DD-PPO: Learning Near-Perfect PointGoal Navigators from 2.5 Billion Frames
Erik Wijmans, Abhishek Kadian, Ari Morcos et al.
DDSP: Differentiable Digital Signal Processing
Jesse Engel, Lamtharn (Hanoi) Hantrakul, Chenjie Gu et al.
Decentralized Deep Learning with Arbitrary Communication Compression
Anastasia Koloskova*, Tao Lin*, Sebastian U Stich et al.
Decoding As Dynamic Programming For Recurrent Autoregressive Models
Najam Zaidi, Trevor Cohn, Gholamreza Haffari
Decoupling Representation and Classifier for Long-Tailed Recognition
Bingyi Kang, Saining Xie, Marcus Rohrbach et al.
Deep 3D Pan via local adaptive "t-shaped" convolutions with global and local adaptive dilations
Juan Luis Gonzalez Bello, Munchurl Kim
Deep Audio Priors Emerge From Harmonic Convolutional Networks
Zhoutong Zhang, Yunyun Wang, Chuang Gan et al.
Deep Batch Active Learning by Diverse, Uncertain Gradient Lower Bounds
Jordan T. Ash, Chicheng Zhang, Akshay Krishnamurthy et al.
Deep Double Descent: Where Bigger Models and More Data Hurt
Preetum Nakkiran, Gal Kaplun, Yamini Bansal et al.
Deep Graph Matching Consensus
Matthias Fey, Jan E. Lenssen, Christopher Morris et al.
DeepHoyer: Learning Sparser Neural Network with Differentiable Scale-Invariant Sparsity Measures
Huanrui Yang, Wei Wen, Hai Li
Deep Imitative Models for Flexible Inference, Planning, and Control
Nicholas Rhinehart, Rowan McAllister, Sergey Levine
Deep Learning For Symbolic Mathematics
Guillaume Lample, François Charton
Deep Learning of Determinantal Point Processes via Proper Spectral Sub-gradient
Tianshu Yu, Yikang Li, Baoxin Li