conftrace_

neural network

7,070 papers

Explore in graph

Also known as

NN

Co-occurring keywords · papers mentioning both

representation learning (452) model compression (322) deep learning (309) attention mechanism (308) transfer learning (250) text classification (228) feature learning (192) knowledge distillation (188) deep neural network (186) image classification (172)

Papers

Lyapunov-stable Neural Control for State and Output Feedback: A Novel Formulation ICML 2024 Maia-2: A Unified Model for Human-AI Alignment in Chess NeurIPS 2024 MA-Net: Rethinking Neural Unit in the Light of Astrocytes AAAI 2024 Manifold-Aligned Counterfactual Explanations for Neural Networks AISTATS 2024 Manipulating dropout reveals an optimal balance of efficiency and robustness in biological and machine visual systems ICLR 2024 MARCO: A Memory-Augmented Reinforcement Framework for Combinatorial Optimization IJCAI 2024 Masked Spatial Propagation Network for Sparsity-Adaptive Depth Refinement CVPR 2024 Mast Kalandar at SemEval-2024 Task 8: On the Trail of Textual Origins: RoBERTa-BiLSTM Approach to Detect AI-Generated Text SemEval 2024 Mean-Field Analysis for Learning Subspace-Sparse Polynomials with Gaussian Input NeurIPS 2024 Mechanistic? EMNLP 2024 Mechanistic Understanding and Mitigation of Language Model Non-Factual Hallucinations EMNLP 2024 Med-DANet V2: A Flexible Dynamic Architecture for Efficient Medical Volumetric Segmentation WACV 2024 Memorization Capacity for Additive Fine-Tuning with Small ReLU Networks UAI 2024 Memorization With Neural Nets: Going Beyond the Worst Case JMLR 2024 Memory-Consistent Neural Networks for Imitation Learning ICLR 2024 MetaMix: Meta-State Precision Searcher for Mixed-Precision Activation Quantization AAAI 2024 MetaRLEC: Meta-Reinforcement Learning for Discovery of Brain Effective Connectivity AAAI 2024 MFP: Making Full Use of Probability Maps for Interactive Image Segmentation CVPR 2024 MicroAdam: Accurate Adaptive Optimization with Low Space Overhead and Provable Convergence NeurIPS 2024 Mind the GAP: Improving Robustness to Subpopulation Shifts with Group-Aware Priors AISTATS 2024 Mitigating Overconfidence in Out-of-Distribution Detection by Capturing Extreme Activations UAI 2024 MixtureGrowth: Growing Neural Networks by Recombining Learned Parameters WACV 2024 Mixture of Diverse Size Experts EMNLP 2024 Mixture-of-Modules: Reinventing Transformers as Dynamic Assemblies of Modules EMNLP 2024 MLP-DINO: Category Modeling and Query Graphing with Deep MLP for Object Detection IJCAI 2024