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Learning Types

32,670 papers (1 classified directly here)

Representation Learning (5,307) Multimodal Learning (3,969) Self-Supervised Learning (3,492) Transfer Learning (2,890) Adversarial Learning (2,199) Deep Learning (1,883) Contrastive Learning (1,730) Reinforcement Learning (1,500) Knowledge Distillation (1,494) Fine-Tuning (1,117) Multi-Task Learning (1,069) Domain Adaptation (977) Zero-Shot Learning (758) Unsupervised Learning (734) Few-Shot Learning (694) Classification (621) Retrieval-Augmented Generation (606) Data Augmentation (583) Semi-Supervised Learning (450) Weakly Supervised Learning (429) Continual Learning (408) In-Context Learning (387) Sequence Modeling (375) Meta-Learning (252) Metric Learning (232) Ensemble Learning (223) Federated Learning (215) Multi-Lingual Learning (199) Robustness (197) Parameter-Efficient Fine-Tuning (190) Imitation Learning (180) Prompt Engineering (170) Chain-of-Thought Reasoning (153) Curriculum Learning (146) Synthetic Data Generation (143) Reinforcement Learning from Human Feedback (141) Multi-Label Classification (123) Regression (117) Generative Model (109) Semantic Segmentation (106) Domain Generalization (105) Uncertainty Quantification (98) Controllable Generation (93) Text Generation (86) Neural Architecture Search (80) Object Detection (80) Image Generation (79) Multi-Agent Systems (76) Feature Learning (74) Preference Learning (73) Machine Translation (71) Out-of-Distribution Detection (68) Machine Unlearning (63) Generation (61) Reasoning (54) Multi-View Learning (53) Time Series (52) Instruction Tuning (50) Distributed Learning (50) Image Restoration (49) Chain-of-Thought (48) Active Learning (47) Text Classification (43) Distribution Shift (43) Structured Prediction (42) Clustering (41) Image Classification (40) Model Merging (37) Sparse Learning (36) Sequence Labeling (36) Multi-Instance Learning (35) Anomaly Detection (33) Image Processing (33) Code Generation (31) Fairness (30) Robust Learning (28) Multi-Domain Learning (27) Supervised Learning (26) Model-Based RL (25) Natural Language Generation (24) Privacy (21) Multi-Objective Optimization (19) Multi-Scale Learning (19) Neural Machine Translation (18) Causal Inference (14) Instance Segmentation (9) Interactive Learning (9) Multi-Label Learning (9) Multi-Source Learning (9) Multi-Class Classification (8)
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Papers (including subtopics)

Deep-Simplex Multichannel Speech Separation Interspeech 2025 Deep Submodular Optimization and LLM for Multimodal Content Extraction and Automatic Poster Generation from Long Document AAAI 2025 Deep Temporal Reasoning in Video Language Models: A Cross-Linguistic Evaluation of Action Duration and Completion through Perfect Times ACL 2025 Deep-Union Completion AAAI 2025 Deep Unsupervised Hashing via External Guidance ICML 2025 Defeasible Visual Entailment: Benchmark, Evaluator, and Reward-Driven Optimization AAAI 2025 Defend for Self-Vocoding: A Novel Enhanced Decoder Network for Watermark Recovery Interspeech 2025 Defense Against Model Stealing Based on Account-Aware Distribution Discrepancy AAAI 2025 Defensive Prompt Patch: A Robust and Generalizable Defense of Large Language Models against Jailbreak Attacks ACL 2025 DefMamba: Deformable Visual State Space Model CVPR 2025 DeformCL: Learning Deformable Centerline Representation for Vessel Extraction in 3D Medical Image CVPR 2025 DeFusion: An Effective Decoupling Fusion Network for Multi-Modal Pregnancy Prediction MIDL 2025 Dehaze-RetinexGAN: Real-World Image Dehazing via Retinex-based Generative Adversarial Network AAAI 2025 Déjà Vu? Decoding Repeated Reading from Eye Movements ACL 2025 DELAB-IIITM WMT25: Enhancing Low-Resource Machine Translation for Manipuri and Assamese EMNLP 2025 Delayed-KD: Delayed Knowledge Distillation based CTC for Low-Latency Streaming ASR Interspeech 2025 DELOC: Document Element Localizer EMNLP 2025 Delving into Multilingual Ethical Bias: The MSQAD with Statistical Hypothesis Tests for Large Language Models ACL 2025 DeMo: Decoupled Feature-Based Mixture of Experts for Multi-Modal Object Re-Identification AAAI 2025 Demystifying Domain-adaptive Post-training for Financial LLMs EMNLP 2025 Dense Audio-Visual Event Localization Under Cross-Modal Consistency and Multi-Temporal Granularity Collaboration AAAI 2025 Dense Depth from Event Focal Stack WACV 2025 DenseLoRA: Dense Low-Rank Adaptation of Large Language Models ACL 2025 Densely Connected Parameter-Efficient Tuning for Referring Image Segmentation AAAI 2025 Dense Policy: Bidirectional Autoregressive Learning of Actions ICCV 2025