Papers
Shapeshifter: a Parameter-efficient Transformer using Factorized Reshaped Matrices
Aliakbar Panahi, Seyran Saeedi, Tom Arodz
Shape your Space: A Gaussian Mixture Regularization Approach to Deterministic Autoencoders
Amrutha Saseendran, Kathrin Skubch, Stefan Falkner et al.
Shaping embodied agent behavior with activity-context priors from egocentric video
Tushar Nagarajan, Kristen Grauman
Shapley Residuals: Quantifying the limits of the Shapley value for explanations
Indra Kumar, Carlos Scheidegger, Suresh Venkatasubramanian et al.
Shared Independent Component Analysis for Multi-Subject Neuroimaging
Hugo Richard, Pierre Ablin, Bertrand Thirion et al.
Sharp Impossibility Results for Hyper-graph Testing
Jiashun Jin, Zheng Tracy Ke, Jiajun Liang
Shifted Chunk Transformer for Spatio-Temporal Representational Learning
Xuefan Zha, Wentao Zhu, Lv Xun et al.
Shift Invariance Can Reduce Adversarial Robustness
Vasu Singla, Songwei Ge, Basri Ronen et al.
Shift-Robust GNNs: Overcoming the Limitations of Localized Graph Training data
Qi Zhu, Natalia Ponomareva, Jiawei Han et al.
Sifting through the noise: Universal first-order methods for stochastic variational inequalities
Kimon Antonakopoulos, Thomas Pethick, Ali Kavis et al.
SILG: The Multi-domain Symbolic Interactive Language Grounding Benchmark
Victor Zhong, Austin W. Hanjie, Sida Wang et al.
Sim and Real: Better Together
Shirli Di-Castro, Dotan Di Castro, Shie Mannor
SimiGrad: Fine-Grained Adaptive Batching for Large Scale Training using Gradient Similarity Measurement
Heyang Qin, Samyam Rajbhandari, Olatunji Ruwase et al.
Similarity and Matching of Neural Network Representations
Adrián Csiszárik, Péter Kőrösi-Szabó, Ákos Matszangosz et al.
SIMILAR: Submodular Information Measures Based Active Learning In Realistic Scenarios
Suraj Kothawade, Nathan Beck, Krishnateja Killamsetty et al.
SIMONe: View-Invariant, Temporally-Abstracted Object Representations via Unsupervised Video Decomposition
Rishabh Kabra, Daniel Zoran, Goker Erdogan et al.
Simple steps are all you need: Frank-Wolfe and generalized self-concordant functions
Alejandro Carderera, Mathieu Besançon, Sebastian Pokutta
Simple Stochastic and Online Gradient Descent Algorithms for Pairwise Learning
ZHENHUAN YANG, Yunwen Lei, Puyu Wang et al.
Single Layer Predictive Normalized Maximum Likelihood for Out-of-Distribution Detection
Koby Bibas, Meir Feder, Tal Hassner
SketchGen: Generating Constrained CAD Sketches
Wamiq Para, Shariq Bhat, Paul Guerrero et al.
Skipping the Frame-Level: Event-Based Piano Transcription With Neural Semi-CRFs
Yujia Yan, Frank Cwitkowitz, Zhiyao Duan
Skyformer: Remodel Self-Attention with Gaussian Kernel and Nystr\"om Method
Yifan Chen, Qi Zeng, Heng Ji et al.
SLAPS: Self-Supervision Improves Structure Learning for Graph Neural Networks
Bahare Fatemi, Layla El Asri, Seyed Mehran Kazemi
Sliced Mutual Information: A Scalable Measure of Statistical Dependence
Ziv Goldfeld, Kristjan Greenewald
Slice Sampling Reparameterization Gradients
David Zoltowski, Diana Cai, Ryan P. Adams