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

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'25

Papers (including subtopics)

Interpreting Learned Feedback Patterns in Large Language Models NeurIPS 2024 Investigating the Impact of Model Width and Density on Generalization in Presence of Label Noise UAI 2024 Investigation into Training Dynamics of Learned Optimizers (Student Abstract) AAAI 2024 IR-CM: The Fast and General-purpose Image Restoration Method Based on Consistency Model NeurIPS 2024 IRPruneDet: Efficient Infrared Small Target Detection via Wavelet Structure-Regularized Soft Channel Pruning AAAI 2024 Is C4 Dataset Optimal for Pruning? An Investigation of Calibration Data for LLM Pruning EMNLP 2024 Is One GPU Enough? Pushing Image Generation at Higher-Resolutions with Foundation Models. NeurIPS 2024 Iterate Averaging in the Quest for Best Test Error JMLR 2024 IT-Tuning : Parameter Efficient Information Token Tuning for Language Model ACL 2024 JaxMARL: Multi-Agent RL Environments and Algorithms in JAX NeurIPS 2024 Jointly Training and Pruning CNNs via Learnable Agent Guidance and Alignment CVPR 2024 Joint Pre-Encoding Representation and Structure Embedding for Efficient and Low-Resource Knowledge Graph Completion EMNLP 2024 JointSQ: Joint Sparsification-Quantization for Distributed Learning CVPR 2024 Keep the Faith: Faithful Explanations in Convolutional Neural Networks for Case-Based Reasoning AAAI 2024 Knowledge Acquisition through Continued Pretraining is Difficult: A Case Study on r/AskHistorians ACL 2024 Knowledge Fusion By Evolving Weights of Language Models ACL 2024 Kronecker-Factored Approximate Curvature for Physics-Informed Neural Networks NeurIPS 2024 KV Cache Compression, But What Must We Give in Return? A Comprehensive Benchmark of Long Context Capable Approaches EMNLP 2024 KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization NeurIPS 2024 L0-Sampler: An L0 Model Guided Volume Sampling for NeRF CVPR 2024 LabelDP-Pro: Learning with Label Differential Privacy via Projections ICLR 2024 Ladder: Enabling Efficient Low-Precision Deep Learning Computing through Hardware-aware Tensor Transformation OSDI 2024 LaMDA: Large Model Fine-Tuning via Spectrally Decomposed Low-Dimensional Adaptation EMNLP 2024 Language Models as Zero-shot Lossless Gradient Compressors: Towards General Neural Parameter Prior Models NeurIPS 2024 LaRE^2: Latent Reconstruction Error Based Method for Diffusion-Generated Image Detection CVPR 2024