conftrace_

Optimization & Theory

7,804 papers (27 classified directly here)

Subtopics · a paper can sit in several, so these overlap

Optimization (1,960) Model Compression (1,896) Efficient Computing (1,780) Theory (1,239) Neural Network Optimization (1,004) Evaluation (533) Regularization (177) Loss Functions (157) Interpretability (128) Stochastic Methods (119) Generalization (115) Sparse Optimization (25)

Papers per year

8

7

12

6

16

9

25

48

45

60

94

150

295

436

675

803

1,010

944

1,346

1,352

463

'10

'15

'20

'25

Papers (including subtopics)

SpeedLoader: An I/O efficient scheme for heterogeneous and distributed LLM operation NeurIPS 2024 SpikedAttention: Training-Free and Fully Spike-Driven Transformer-to-SNN Conversion with Winner-Oriented Spike Shift for Softmax Operation NeurIPS 2024 SpikingBERT: Distilling BERT to Train Spiking Language Models Using Implicit Differentiation AAAI 2024 SPIN: Sparsifying and Integrating Internal Neurons in Large Language Models for Text Classification ACL 2024 Split and Merge: Aligning Position Biases in LLM-based Evaluators EMNLP 2024 Sprout: Green Generative AI with Carbon-Efficient LLM Inference EMNLP 2024 SS1: Accelerating Inference with Fast and Expressive Sketch Structured Transform NeurIPS 2024 ST$_k$: A Scalable Module for Solving Top-k Problems NeurIPS 2024 Stability and Generalizability in SDE Diffusion Models with Measure-Preserving Dynamics NeurIPS 2024 Stable Language Model Pre-training by Reducing Embedding Variability EMNLP 2024 Stable Minima Cannot Overfit in Univariate ReLU Networks: Generalization by Large Step Sizes NeurIPS 2024 State Space Models for Event Cameras CVPR 2024 StepbaQ: Stepping backward as Correction for Quantized Diffusion Models NeurIPS 2024 Stepping Forward on the Last Mile NeurIPS 2024 Stepping on the Edge: Curvature Aware Learning Rate Tuners NeurIPS 2024 Stochastic Amortization: A Unified Approach to Accelerate Feature and Data Attribution NeurIPS 2024 Stochastic Kernel Regularisation Improves Generalisation in Deep Kernel Machines NeurIPS 2024 Stochastic Methods in Variational Inequalities: Ergodicity, Bias and Refinements AISTATS 2024 Stochastic Modified Flows, Mean-Field Limits and Dynamics of Stochastic Gradient Descent JMLR 2024 Stochastic Newton Proximal Extragradient Method NeurIPS 2024 Straight-Through Meets Sparse Recovery: the Support Exploration Algorithm ICML 2024 StreamFlow: Streamlined Multi-Frame Optical Flow Estimation for Video Sequences NeurIPS 2024 StreamingDialogue: Prolonged Dialogue Learning via Long Context Compression with Minimal Losses NeurIPS 2024 StreamingFlow: Streaming Occupancy Forecasting with Asynchronous Multi-modal Data Streams via Neural Ordinary Differential Equation CVPR 2024 Streamlining Speech Enhancement DNNs: an Automated Pruning Method Based on Dependency Graph with Advanced Regularized Loss Strategies Interspeech 2024