Papers
374 papers found
Dynamic Sparse Training with Structured Sparsity
Mike Lasby, Anna Golubeva, Utku Evci et al.
Sparsistency for inverse optimal transport
Francisco Andrade, Gabriel Peyré, Clarice Poon
Teaching Arithmetic to Small Transformers
Nayoung Lee, Kartik Sreenivasan, Jason D. Lee et al.
From Sparse to Soft Mixtures of Experts
Joan Puigcerver, Carlos Riquelme Ruiz, Basil Mustafa et al.
Expected Sliced Transport Plans
Xinran Liu, Rocio Diaz Martin, Yikun Bai et al.
ViSAGe: Video-to-Spatial Audio Generation
Jaeyeon Kim, Heeseung Yun, Gunhee Kim
MAST: model-agnostic sparsified training
Yury Demidovich, Grigory Malinovsky, Egor Shulgin et al.
On the Expressive Power of Sparse Geometric MPNNs
Yonatan Sverdlov, Nadav Dym
Sparse projections onto the simplex
Anastasios Kyrillidis, Stephen Becker, Volkan Cevher et al.
Fastfood - Computing Hilbert Space Expansions in loglinear time
Quoc Le, Tamas Sarlos, Alexander Smola
Sparse PCA through Low-rank Approximations
Dimitris Papailiopoulos, Alexandros Dimakis, Stavros Korokythakis
Atomic Spatial Processes
Sean Jewell, Neil Spencer, Alexandre Bouchard-Côté
Warped Convolutions: Efficient Invariance to Spatial Transformations
João F. Henriques, Andrea Vedaldi
A Geometric Approach to Archetypal Analysis via Sparse Projections
Vinayak Abrol, Pulkit Sharma
Selfish Sparse RNN Training
Shiwei Liu, Decebal Constantin Mocanu, Yulong Pei et al.
Sparsity-Agnostic Lasso Bandit
Min-Hwan Oh, Garud Iyengar, Assaf Zeevi
Learning to Separate Voices by Spatial Regions
Alan Xu, Romit Roy Choudhury
Continuous Spatiotemporal Transformer
Antonio Henrique De Oliveira Fonseca, Emanuele Zappala, Josue Ortega Caro et al.
Scaling Spherical CNNs
Carlos Esteves, Jean-Jacques Slotine, Ameesh Makadia
Towards Reliable Neural Specifications
Chuqin Geng, Nham Le, Xiaojie Xu et al.
Exphormer: Sparse Transformers for Graphs
Hamed Shirzad, Ameya Velingker, Balaji Venkatachalam et al.
Tilted Sparse Additive Models
Yingjie Wang, Hong Chen, Weifeng Liu et al.
Learning to Complement Humans
Bryan Wilder, Eric Horvitz, Ece Kamar
SparseTT: Visual Tracking with Sparse Transformers
Zhihong Fu, Zehua Fu, Qingjie Liu et al.