conftrace_

gradient analysis

32 papers

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Co-occurring keywords

large language model (13587) neural network (6616) saliency map (125) feature attribution (280) representation learning (6206) graph neural network (3962) image gradient (10) gradient-based analysis (7) model interpretation (93) influence function (143)

Papers

On the Provable Importance of Gradients for Autonomous Language-Assisted Image Clustering ICCV 2025
Gradient Short-Circuit: Efficient Out-of-Distribution Detection via Feature Intervention ICCV 2025
Beyond Input Activations: Identifying Influential Latents by Gradient Sparse Autoencoders EMNLP 2025
Tuned Contrastive Learning WACV 2025
What Happened in LLMs Layers when Trained for Fast vs. Slow Thinking: A Gradient Perspective ACL 2025
In2Core: Leveraging Influence Functions for Coreset Selection in Instruction Finetuning of Large Language Models EMNLP 2024
Backward Lens: Projecting Language Model Gradients into the Vocabulary Space EMNLP 2024
Understanding the Expressivity and Trainability of Fourier Neural Operator: A Mean-Field Perspective NIPS 2024
Towards Better Understanding of Contrastive Sentence Representation Learning: A Unified Paradigm for Gradient ACL 2024
ReGCL: Rethinking Message Passing in Graph Contrastive Learning AAAI 2024
GradSafe: Detecting Jailbreak Prompts for LLMs via Safety-Critical Gradient Analysis ACL 2024
Multi-Metrics Adaptively Identifies Backdoors in Federated Learning ICCV 2023
Rethinking Interpretation: Input-Agnostic Saliency Mapping of Deep Visual Classifiers AAAI 2023
Expected Gradients of Maxout Networks and Consequences to Parameter Initialization ICML 2023
Towards Understanding Generalization of Graph Neural Networks ICML 2023
Dissecting Deep Metric Learning Losses for Image-Text Retrieval WACV 2023
Initialization Noise in Image Gradients and Saliency Maps CVPR 2023
When Does Differentially Private Learning Not Suffer in High Dimensions? NIPS 2022
CometKiwi: IST-Unbabel 2022 Submission for the Quality Estimation Shared Task EMNLP 2022
Why Spectral Normalization Stabilizes GANs: Analysis and Improvements NIPS 2021
Beating Attackers At Their Own Games: Adversarial Example Detection Using Adversarial Gradient Directions AAAI 2021
Efficiently Identifying Task Groupings for Multi-Task Learning NIPS 2021
Explaining the Explainer: A First Theoretical Analysis of LIME AISTATS 2020
Understanding Attention for Text Classification ACL 2020
There and Back Again: Revisiting Backpropagation Saliency Methods CVPR 2020