conftrace_

gradient approximation

35 papers

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Co-occurring keywords

model compression (3302) binary neural network (75) large language model (13587) prompt optimization (190) memory efficiency (261) discrete latent variable (43) sign function (2) black-box tuning (6) low-rank adaptation (560) parameter-efficient fine-tuning (736)

Papers

Gradient-Guided Multi-Judge Prompt Optimization ACL 2026
Fast and Slow Gradient Approximation for Binary Neural Network Optimization AAAI 2025
Erase Then Rectify: A Training-Free Parameter Editing Approach for Cost-Effective Graph Unlearning AAAI 2025
LimaCost: Data Valuation for Instruction Tuning of Large Language Models EMNLP 2025
Coherence-based Approximate Derivatives via Web of Affine Spaces Optimization RSS 2025
LoRA-GA: Low-Rank Adaptation with Gradient Approximation NIPS 2024
SLED: Self Logits Evolution Decoding for Improving Factuality in Large Language Models NIPS 2024
Memory-Efficient Fine-Tuning of Transformers via Token Selection EMNLP 2024
Unlocking Black-Box Prompt Tuning Efficiency via Zeroth-Order Optimization EMNLP 2024
BiPer: Binary Neural Networks using a Periodic Function CVPR 2024
Differentiable JPEG: The Devil Is in the Details WACV 2024
DisC-GS: Discontinuity-aware Gaussian Splatting NIPS 2024
Black-Box Tuning of Vision-Language Models with Effective Gradient Approximation EMNLP 2023
Softmax Output Approximation for Activation Memory-Efficient Training of Attention-based Networks NIPS 2023
Bridging Discrete and Backpropagation: Straight-Through and Beyond NIPS 2023
Provable Data Subset Selection For Efficient Neural Networks Training ICML 2023
Understanding Neural Network Binarization with Forward and Backward Proximal Quantizers NIPS 2023
Scalable Set Encoding with Universal Mini-Batch Consistency and Unbiased Full Set Gradient Approximation ICML 2023
Efficient Gradient Approximation Method for Constrained Bilevel Optimization AAAI 2023
An In-depth Study of Stochastic Backpropagation NIPS 2022
Faster Meta Update Strategy for Noise-Robust Deep Learning CVPR 2021
Differentiating the Value Function by using Convex Duality AISTATS 2021
Memory Efficient Meta-Learning with Large Images NIPS 2021
Learning Frequency Domain Approximation for Binary Neural Networks NIPS 2021
Weakly Supervised Semantic Point Cloud Segmentation: Towards 10x Fewer Labels CVPR 2020