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Optimization & Theory

6,829 papers (27 classified directly here)

Subtopics

Model Compression (1,785) Optimization (1,664) Efficient Computing (1,579) Theory (1,082) Neural Network Optimization (903) Evaluation (509) Loss Functions (123) Interpretability (105) Stochastic Methods (97) Regularization (77) Generalization (24) Sparse Optimization (7)

Papers per year

8
50
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1173
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Papers (including subtopics)

MagR: Weight Magnitude Reduction for Enhancing Post-Training Quantization NIPS 2024
Faster Diffusion: Rethinking the Role of the Encoder for Diffusion Model Inference NIPS 2024
A provable control of sensitivity of neural networks through a direct parameterization of the overall bi-Lipschitzness NIPS 2024
TinyLUT: Tiny Look-Up Table for Efficient Image Restoration at the Edge NIPS 2024
Learning Infinitesimal Generators of Continuous Symmetries from Data NIPS 2024
ConceptMix: A Compositional Image Generation Benchmark with Controllable Difficulty NIPS 2024
StreamingDialogue: Prolonged Dialogue Learning via Long Context Compression with Minimal Losses NIPS 2024
On Feature Learning in Structured State Space Models NIPS 2024
Cascade Speculative Drafting for Even Faster LLM Inference NIPS 2024
Local to Global: Learning Dynamics and Effect of Initialization for Transformers NIPS 2024
How many classifiers do we need? NIPS 2024
SpaFL: Communication-Efficient Federated Learning With Sparse Models And Low Computational Overhead NIPS 2024
Neur2BiLO: Neural Bilevel Optimization NIPS 2024
Reducing Transformer Key-Value Cache Size with Cross-Layer Attention NIPS 2024
Transcendence: Generative Models Can Outperform The Experts That Train Them NIPS 2024
Base of RoPE Bounds Context Length NIPS 2024
How does Architecture Influence the Base Capabilities of Pre-trained Language Models? A Case Study Based on FFN-Wider and MoE Transformers NIPS 2024
LLMCBench: Benchmarking Large Language Model Compression for Efficient Deployment NIPS 2024
DuQuant: Distributing Outliers via Dual Transformation Makes Stronger Quantized LLMs NIPS 2024
Exploring DCN-like architecture for fast image generation with arbitrary resolution NIPS 2024
An Efficient High-dimensional Gradient Estimator for Stochastic Differential Equations NIPS 2024
IDGen: Item Discrimination Induced Prompt Generation for LLM Evaluation NIPS 2024
Provable and Efficient Dataset Distillation for Kernel Ridge Regression NIPS 2024
Compressing Large Language Models using Low Rank and Low Precision Decomposition NIPS 2024
QUEST: Quality-Aware Metropolis-Hastings Sampling for Machine Translation NIPS 2024