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)

Rescue: Ranking LLM Responses with Partial Ordering to Improve Response Generation ACL 2024 Residual Learning in Diffusion Models CVPR 2024 ResLoRA: Identity Residual Mapping in Low-Rank Adaption ACL 2024 Resonance RoPE: Improving Context Length Generalization of Large Language Models ACL 2024 Resource Efficient Deep Learning Hardware Watermarks with Signature Alignment AAAI 2024 Resource-Efficient Transformer Pruning for Finetuning of Large Models CVPR 2024 Retaining Key Information under High Compression Ratios: Query-Guided Compressor for LLMs ACL 2024 Rethinking 3D Convolution in ℓ_p-norm Space NeurIPS 2024 Rethinking FID: Towards a Better Evaluation Metric for Image Generation CVPR 2024 Rethinking Fourier Transform from A Basis Functions Perspective for Long-term Time Series Forecasting NeurIPS 2024 Rethinking Interactive Image Segmentation with Low Latency High Quality and Diverse Prompts CVPR 2024 Rethinking Memory and Communication Costs for Efficient Data Parallel Training of Large Language Models NeurIPS 2024 Rethinking Peculiar Images by Diffusion Models: Revealing Local Minima’s Role AAAI 2024 Rethinking Pruning Large Language Models: Benefits and Pitfalls of Reconstruction Error Minimization EMNLP 2024 Rethinking Robustness of Model Attributions AAAI 2024 Rethinking the Membrane Dynamics and Optimization Objectives of Spiking Neural Networks NeurIPS 2024 Rethinking Weight Decay for Robust Fine-Tuning of Foundation Models NeurIPS 2024 Reverse Transition Kernel: A Flexible Framework to Accelerate Diffusion Inference NeurIPS 2024 Revisiting Catastrophic Forgetting in Large Language Model Tuning EMNLP 2024 Revisiting Query Variation Robustness of Transformer Models EMNLP 2024 Revisiting the Impact of Pursuing Modularity for Code Generation EMNLP 2024 Revisiting the Information Capacity of Neural Network Watermarks: Upper Bound Estimation and Beyond AAAI 2024 Revive Re-weighting in Imbalanced Learning by Density Ratio Estimation NeurIPS 2024 RevMUX: Data Multiplexing with Reversible Adapters for Efficient LLM Batch Inference EMNLP 2024 Rewrite the Stars CVPR 2024