Papers
11,951 papers found
Rotation-invariant clustering of neuronal responses in primary visual cortex
Ivan Ustyuzhaninov, Santiago A. Cadena, Emmanouil Froudarakis et al.
RTFM: Generalising to New Environment Dynamics via Reading
Victor Zhong, Tim Rocktäschel, Edward Grefenstette
SAdam: A Variant of Adam for Strongly Convex Functions
Guanghui Wang, Shiyin Lu, Quan Cheng et al.
Sample Efficient Policy Gradient Methods with Recursive Variance Reduction
Pan Xu, Felicia Gao, Quanquan Gu
Sampling-Free Learning of Bayesian Quantized Neural Networks
Jiahao Su, Milan Cvitkovic, Furong Huang
Scalable and Order-robust Continual Learning with Additive Parameter Decomposition
Jaehong Yoon, Saehoon Kim, Eunho Yang et al.
Scalable Model Compression by Entropy Penalized Reparameterization
Deniz Oktay, Johannes Ballé, Saurabh Singh et al.
Scalable Neural Methods for Reasoning With a Symbolic Knowledge Base
William W. Cohen, Haitian Sun, R. Alex Hofer et al.
Scale-Equivariant Steerable Networks
Ivan Sosnovik, Michał Szmaja, Arnold Smeulders
Scaling Autoregressive Video Models
Dirk Weissenborn, Oscar Täckström, Jakob Uszkoreit
Scalog: Seamless Reconfiguration and Total Order in a Scalable Shared Log
Cong Ding, David Chu, Evan Zhao et al.
SCALOR: Generative World Models with Scalable Object Representations
Jindong Jiang*, Sepehr Janghorbani*, Gerard De Melo et al.
Secondary Phonetic Cues in the Production of the Nasal Short-a System in California English
Georgia Zellou, Rebecca Scarborough, Renee Kemp
SEED RL: Scalable and Efficient Deep-RL with Accelerated Central Inference
Lasse Espeholt, Raphaël Marinier, Piotr Stanczyk et al.
Selection via Proxy: Efficient Data Selection for Deep Learning
Cody Coleman, Christopher Yeh, Stephen Mussmann et al.
Self-Adversarial Learning with Comparative Discrimination for Text Generation
Wangchunshu Zhou, Tao Ge, Ke Xu et al.
Self-labelling via simultaneous clustering and representation learning
Asano YM., Rupprecht C., Vedaldi A.
SELF: Learning to Filter Noisy Labels with Self-Ensembling
Duc Tam Nguyen, Chaithanya Kumar Mummadi, Thi Phuong Nhung Ngo et al.
Self-Supervised Learning of Appliance Usage
Chen-Yu Hsu, Abbas Zeitoun, Guang-He Lee et al.
Semantically-Guided Representation Learning for Self-Supervised Monocular Depth
Vitor Guizilini, Rui Hou, Jie Li et al.
Semi-Supervised Generative Modeling for Controllable Speech Synthesis
Raza Habib, Soroosh Mariooryad, Matt Shannon et al.
Sequential Latent Knowledge Selection for Knowledge-Grounded Dialogue
Byeongchang Kim, Jaewoo Ahn, Gunhee Kim
Sharing Knowledge in Multi-Task Deep Reinforcement Learning
Carlo D'Eramo, Davide Tateo, Andrea Bonarini et al.
Shifted and Squeezed 8-bit Floating Point format for Low-Precision Training of Deep Neural Networks
Leopold Cambier, Anahita Bhiwandiwalla, Ting Gong et al.
Short and Sparse Deconvolution --- A Geometric Approach
Yenson Lau, Qing Qu, Han-Wen Kuo et al.