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

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7

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16

9

25

48

45

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94

150

295

436

675

803

1,010

944

1,346

1,352

463

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Papers (including subtopics)

Impartial Adversarial Distillation: Addressing Biased Data-Free Knowledge Distillation via Adaptive Constrained Optimization AAAI 2024 Implicit Bias in Noisy-SGD: With Applications to Differentially Private Training AISTATS 2024 Implicit bias of SGD in L_2-regularized linear DNNs: One-way jumps from high to low rank ICLR 2024 Implicit Optimization Bias of Next-token Prediction in Linear Models NeurIPS 2024 Implicit Regularization in Deep Tucker Factorization: Low-Rankness via Structured Sparsity AISTATS 2024 Implicit Regularization of Sharpness-Aware Minimization for Scale-Invariant Problems NeurIPS 2024 Implicit Regularization Paths of Weighted Neural Representations NeurIPS 2024 Improved Sample Complexity Bounds for Diffusion Model Training NeurIPS 2024 Improving Adaptivity via Over-Parameterization in Sequence Models NeurIPS 2024 Improving Equivariant Model Training via Constraint Relaxation NeurIPS 2024 Improving Explainable Fact-Checking via Sentence-Level Factual Reasoning EMNLP 2024 Improving Neural ODE Training with Temporal Adaptive Batch Normalization NeurIPS 2024 Improving Normalization With the James-Stein Estimator WACV 2024 Improving robustness to corruptions with multiplicative weight perturbations NeurIPS 2024 Improving Robustness via Tilted Exponential Layer: A Communication-Theoretic Perspective AISTATS 2024 Improving the Adversarial Transferability of Vision Transformers with Virtual Dense Connection AAAI 2024 Improving the Training of Rectified Flows NeurIPS 2024 Improving Training Efficiency of Diffusion Models via Multi-Stage Framework and Tailored Multi-Decoder Architecture CVPR 2024 In2Core: Leveraging Influence Functions for Coreset Selection in Instruction Finetuning of Large Language Models EMNLP 2024 In-Context Former: Lightning-fast Compressing Context for Large Language Model EMNLP 2024 In-Context Learning of a Linear Transformer Block: Benefits of the MLP Component and One-Step GD Initialization NeurIPS 2024 In-Context Learning State Vector with Inner and Momentum Optimization NeurIPS 2024 Increasing Biases Can Be More Efficient Than Increasing Weights WACV 2024 In defense of parameter sharing for model-compression ICLR 2024 In Defense of Structural Sparse Adapters for Concurrent LLM Serving EMNLP 2024