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

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'25

Papers (including subtopics)

Quantized Side Tuning: Fast and Memory-Efficient Tuning of Quantized Large Language Models ACL 2024 Quantum Deep Equilibrium Models NeurIPS 2024 Query-OPT: Optimizing Inference of Large Language Models via Multi-Query Instructions in Meeting Summarization EMNLP 2024 QUEST: Quality-Aware Metropolis-Hastings Sampling for Machine Translation NeurIPS 2024 QUIK: Towards End-to-end 4-Bit Inference on Generative Large Language Models EMNLP 2024 RAGLAB: A Modular and Research-Oriented Unified Framework for Retrieval-Augmented Generation EMNLP 2024 Random Linear Projections Loss for Hyperplane-Based Optimization in Neural Networks UAI 2024 Ranking Large Language Models without Ground Truth ACL 2024 Realistic Evaluation of Toxicity in Large Language Models ACL 2024 Real-time Core-Periphery Guided ViT with Smart Data Layout Selection on Mobile Devices NeurIPS 2024 Reasoning in Token Economies: Budget-Aware Evaluation of LLM Reasoning Strategies EMNLP 2024 Reasoning or a Semblance of it? A Diagnostic Study of Transitive Reasoning in LLMs EMNLP 2024 Reasons and Solutions for the Decline in Model Performance after Editing NeurIPS 2024 Rebuilding ROME : Resolving Model Collapse during Sequential Model Editing EMNLP 2024 Reducing the Side-Effects of Oscillations in Training of Quantized YOLO Networks WACV 2024 Reducing Transformer Key-Value Cache Size with Cross-Layer Attention NeurIPS 2024 Re-Evaluating Evaluation for Multilingual Summarization EMNLP 2024 REGLO: Provable Neural Network Repair for Global Robustness Properties AAAI 2024 Reg-PTQ: Regression-specialized Post-training Quantization for Fully Quantized Object Detector CVPR 2024 Regression Aware Inference with LLMs EMNLP 2024 Reparameterized Multi-Resolution Convolutions for Long Sequence Modelling NeurIPS 2024 Rephrasing the Web: A Recipe for Compute and Data-Efficient Language Modeling ACL 2024 Representational Analysis of Binding in Language Models EMNLP 2024 REPrune: Channel Pruning via Kernel Representative Selection AAAI 2024 Repurposing Language Models into Embedding Models: Finding the Compute-Optimal Recipe NeurIPS 2024