conftrace_

Deep Learning

78,198 papers (26 classified directly here)

Subtopics · a paper can sit in several, so these overlap

Learning Types (32,670) Architectures (30,950) Models (20,488) Techniques (9,432) Optimization & Theory (7,804) Application Areas (273)

Papers per year

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5,368

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Papers (including subtopics)

Confabulation: The Surprising Value of Large Language Model Hallucinations ACL 2024 Confidence-aware Contrastive Learning for Selective Classification ICML 2024 Confidence Calibration of Classifiers with Many Classes NeurIPS 2024 Confidence Under the Hood: An Investigation into the Confidence-Probability Alignment in Large Language Models ACL 2024 Conformal Crystal Graph Transformer with Robust Encoding of Periodic Invariance AAAI 2024 Conformal Inductive Graph Neural Networks ICLR 2024 Conformalized Time Series with Semantic Features NeurIPS 2024 CONFORM: Contrast is All You Need for High-Fidelity Text-to-Image Diffusion Models CVPR 2024 Conformer-Based Speech Recognition On Extreme Edge-Computing Devices NAACL 2024 Conformer without Convolutions Interspeech 2024 Confronting Ambiguity in 6D Object Pose Estimation via Score-Based Diffusion on SE(3) CVPR 2024 Confronting Reward Overoptimization for Diffusion Models: A Perspective of Inductive and Primacy Biases ICML 2024 Confucius: Iterative Tool Learning from Introspection Feedback by Easy-to-Difficult Curriculum AAAI 2024 Confusion-Resistant Federated Learning via Diffusion-Based Data Harmonization on Non-IID Data NeurIPS 2024 ConjNorm: Tractable Density Estimation for Out-of-Distribution Detection ICLR 2024 Conjugated Semantic Pool Improves OOD Detection with Pre-trained Vision-Language Models NeurIPS 2024 Connecting Joint-Embedding Predictive Architecture with Contrastive Self-supervised Learning NeurIPS 2024 Connecting the Dots: Collaborative Fine-tuning for Black-Box Vision-Language Models ICML 2024 Connecting the Dots: Inferring Patent Phrase Similarity with Retrieved Phrase Graphs NAACL 2024 Connecting the Dots: Is Mode-Connectedness the Key to Feasible Sample-Based Inference in Bayesian Neural Networks? ICML 2024 Connectivity-Driven Pseudo-Labeling Makes Stronger Cross-Domain Segmenters NeurIPS 2024 Connect Later: Improving Fine-tuning for Robustness with Targeted Augmentations ICML 2024 ConR: Contrastive Regularizer for Deep Imbalanced Regression ICLR 2024 Consecutive Batch Model Editing with HooK Layers EMNLP 2024 Consensus Learning with Deep Sets for Essential Matrix Estimation NeurIPS 2024