Co-occurring keywords · papers mentioning both
Papers
Bit-Pruning: A Sparse Multiplication-Less Dot-Product
ICLR 2023
Breaking through Deterministic Barriers: Randomized Pruning Mask Generation and Selection
EMNLP 2023
CSTAR: Towards Compact and Structured Deep Neural Networks with Adversarial Robustness
AAAI 2023
Efficient Personalized Federated Learning via Sparse Model-Adaptation
ICML 2023
Exploring and Interacting with the Set of Good Sparse Generalized Additive Models
NeurIPS 2023
Fast, Differentiable and Sparse Top-k: a Convex Analysis Perspective
ICML 2023
G-SPEED: General SParse Efficient Editing MoDel
EMNLP 2023
Representer Point Selection for Explaining Regularized High-dimensional Models
ICML 2023
SIMPLE: A Gradient Estimator for k-Subset Sampling
ICLR 2023
Sparse Token Transformer with Attention Back Tracking
ICLR 2023
TJUNLP:System Description for the WMT23 Literary Task in Chinese to English Translation Direction
EMNLP 2023
Towards Robust Pruning: An Adaptive Knowledge-Retention Pruning Strategy for Language Models
EMNLP 2023
Beyond L1: Faster and Better Sparse Models with skglm
NeurIPS 2022
Controlled Sparsity via Constrained Optimization or: How I Learned to Stop Tuning Penalties and Love Constraints
NeurIPS 2022
DeepSpeed-MoE: Advancing Mixture-of-Experts Inference and Training to Power Next-Generation AI Scale
ICML 2022
Differentially Private Model Compression
NeurIPS 2022
EPIC TTS Models: Empirical Pruning Investigations Characterizing Text-To-Speech Models
Interspeech 2022
Exploring the Whole Rashomon Set of Sparse Decision Trees
NeurIPS 2022
Fast and More Powerful Selective Inference for Sparse High-Order Interaction Model
AAAI 2022
How Well Do Sparse ImageNet Models Transfer?
CVPR 2022
On the Adversarial Robustness of Mixture of Experts
NeurIPS 2022
On the Identifiability of Nonlinear ICA: Sparsity and Beyond
NeurIPS 2022
Prospect Pruning: Finding Trainable Weights at Initialization using Meta-Gradients
ICLR 2022
Robust Testing in High-Dimensional Sparse Models
NeurIPS 2022
Sparse Double Descent: Where Network Pruning Aggravates Overfitting
ICML 2022