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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)

A0: An Affordance-Aware Hierarchical Model for General Robotic Manipulation ICCV 2025 𝒜3: Automatic Alignment Framework for Attributed Text Generation ACL 2025 A4A: Adapter for Adapter Transfer via All-for-All Mapping for Cross-Architecture Models CVPR 2025 AAKR: Adversarial Attack-based Knowledge Retention for Continual Semantic Segmentation AAAI 2025 AA-SLLM: An Acoustically Augmented Speech Large Language Model for Speech Emotion Recognition Interspeech 2025 A Balancing Act: Optimizing Classification and Retrieval in Cross-Modal Vision Models MIDL 2025 ABBSPO: Adaptive Bounding Box Scaling and Symmetric Prior based Orientation Prediction for Detecting Aerial Image Objects CVPR 2025 ABHINAYA - A System for Speech Emotion Recognition In Naturalistic Conditions Challenge Interspeech 2025 A Bias-Free Training Paradigm for More General AI-generated Image Detection CVPR 2025 A Bounding Box is Worth One Token - Interleaving Layout and Text in a Large Language Model for Document Understanding ACL 2025 AbsVis – Benchmarking How Humans and Vision-Language Models “See” Abstract Concepts in Images EMNLP 2025 ACAM-KD: Adaptive and Cooperative Attention Masking for Knowledge Distillation ICCV 2025 Accelerating Adaptive Retrieval Augmented Generation via Instruction-Driven Representation Reduction of Retrieval Overlaps ACL 2025 Accelerating Adversarial Training on Under-Utilized GPU IJCAI 2025 Accelerating LLM Reasoning via Early Rejection with Partial Reward Modeling EMNLP 2025 Accelerating Multimodal Large Language Models by Searching Optimal Vision Token Reduction CVPR 2025 Accent Normalization Using Self-Supervised Discrete Tokens with Non-Parallel Data Interspeech 2025 ACCon: Angle-Compensated Contrastive Regularizer for Deep Regression AAAI 2025 ACE: Anatomically Consistent Embeddings in Composition and Decomposition WACV 2025 ACECODER: Acing Coder RL via Automated Test-Case Synthesis ACL 2025 AceMath: Advancing Frontier Math Reasoning with Post-Training and Reward Modeling ACL 2025 A Character-Centric Creative Story Generation via Imagination ACL 2025 Achieving More with Less: Additive Prompt Tuning for Rehearsal-Free Class-Incremental Learning ICCV 2025 A Closer Look at Backdoor Attacks on CLIP ICML 2025 A Compact Model for Mathematics Problem Representations Distilled from BERT AAAI 2025