conftrace_

generalization performance

97 papers

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Co-occurring keywords

neural network (6616) neural network optimization (1293) stochastic gradient descent (1091) deep neural network (1803) gradient descent (1144) deep learning (2118) data augmentation (3052) loss landscape (149) learning rate (192) model selection (456)

Papers

Diversity patterns run deep: Impact of diversity intake on multiword expression identification EACL 2026
Towards Universal AI-Generated Image Detection by Variational Information Bottleneck Network CVPR 2025
Reinforcement Learning-Guided Data Selection via Redundancy Assessment ICCV 2025
Stabilizing Sharpness-Aware Minimization Through A Simple Renormalization Strategy JMLR 2025
LMO: Linear Mamba Operator for MRI Reconstruction CVPR 2025
On Memorization of Large Language Models in Logical Reasoning IJCNLP 2025
SPADE: Structured Prompting Augmentation for Dialogue Enhancement in Machine-Generated Text Detection ACL 2025
Label Noise Correction via Fuzzy Learning Machine AAAI 2025
From Multimodal LLMs to Generalist Embodied Agents: Methods and Lessons CVPR 2025
Detecting Adversarial Data Using Perturbation Forgery CVPR 2025
Ex Uno Pluria: Insights on Ensembling in Low Precision Number Systems NIPS 2024
Improving robustness to corruptions with multiplicative weight perturbations NIPS 2024
MULFE: A Multi-Level Benchmark for Free Text Model Editing ACL 2024
Dissecting the Interplay of Attention Paths in a Statistical Mechanics Theory of Transformers NIPS 2024
AbsInstruct: Eliciting Abstraction Ability from LLMs through Explanation Tuning with Plausibility Estimation ACL 2024
Effect of Ambient-Intrinsic Dimension Gap on Adversarial Vulnerability AISTATS 2024
Improving Equivariant Model Training via Constraint Relaxation NIPS 2024
Predicting generalization performance with correctness discriminators EMNLP 2024
A Comprehensive Analysis on the Learning Curve in Kernel Ridge Regression NIPS 2024
Feature Distribution Matching by Optimal Transport for Effective and Robust Coreset Selection AAAI 2024
Towards Combating Frequency Simplicity-biased Learning for Domain Generalization NIPS 2024
Crafting Training Degradation Distribution for the Accuracy-Generalization Trade-off in Real-World Super-Resolution ICML 2023
A Unified Approach to Controlling Implicit Regularization via Mirror Descent JMLR 2023
Training-Free Neural Active Learning with Initialization-Robustness Guarantees ICML 2023
Mitigating Memorization of Noisy Labels by Clipping the Model Prediction ICML 2023