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

6,434

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9,951

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Papers (including subtopics)

Data-Agnostic Augmentations for Unknown Variations: Out-of-Distribution Generalisation in MRI Segmentation MIDL 2025 Data Augmentation for Image Classification using Generative AI WACV 2025 Data Augmentation for Medical Imaging: Counterfactual Simulation of Acquisition Parameters via Conditional Diffusion Model MIDL 2025 Data Augmentation for Surgical Scene Segmentation with Anatomy-Aware Diffusion Models WACV 2025 Data Augmentation using Speech Synthesis for Speaker-Independent Dysarthria Severity Classification Interspeech 2025 DataBees at SemEval-2025 Task 11: Challenges and Limitations in Multi-Label Emotion Detection SemEval 2025 Data Center Cooling System Optimization Using Offline Reinforcement Learning ICLR 2025 Data-Constrained Synthesis of Training Data for De-Identification ACL 2025 Data Descriptions from Large Language Models with Influence Estimation EMNLP 2025 Data Distributional Properties As Inductive Bias for Systematic Generalization CVPR 2025 Data-Efficient 3D Visual Grounding via Order-Aware Referring WACV 2025 Data-Efficient Alignment in Medical Imaging via Reconfigurable Generative Networks WACV 2025 Data-Efficient Hate Speech Detection via Cross-Lingual Nearest Neighbor Retrieval with Limited Labeled Data EMNLP 2025 Data-Efficient Selection via Grammatical Complexity in Continual Pre-training of Domain-Specific LLMs EMNLP 2025 Data-Free Group-Wise Fully Quantized Winograd Convolution via Learnable Scales CVPR 2025 Data-free Universal Adversarial Perturbation with Pseudo-semantic Prior CVPR 2025 Data-Free Universal Attack by Exploiting the Intrinsic Vulnerability of Deep Models AAAI 2025 Data Generation for Hardware-Friendly Post-Training Quantization WACV 2025 Dataground at SemEval-2025 Task 8: Small LLMs and Preference Optimization for Tabular QA SemEval 2025 DataHacks at PerAnsSumm 2025: LoRA-Driven Prompt Engineering for Perspective Aware Span Identification and Summarization NAACL 2025 Data-Juicer Sandbox: A Feedback-Driven Suite for Multimodal Data-Model Co-development ICML 2025 Data Laundering: Artificially Boosting Benchmark Results through Knowledge Distillation ACL 2025 Data or Language Supervision: What Makes CLIP Better than DINO? EMNLP 2025 Dataset Augmentation by Mixing Visual Concepts WACV 2025 Dataset Distillation via Knowledge Distillation: Towards Efficient Self-Supervised Pre-training of Deep Networks ICLR 2025