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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)

PoliTo at SemEval-2025 Task 1: Beyond Literal Meaning: A Chain-of-Though Approach for Multimodal Idiomacity Understanding SemEval 2025 Poly2Vec: Polymorphic Fourier-Based Encoding of Geospatial Objects for GeoAI Applications ICML 2025 PolyNorm: Few-Shot LLM-Based Text Normalization for Text-to-Speech EMNLP 2025 PoolAtnRes: Towards Generalisable Differential Morphing Attack Detection WACV 2025 PopAlign: Diversifying Contrasting Patterns for a More Comprehensive Alignment ACL 2025 Population Normalization for Federated Learning CVPR 2025 POS-Aware Neural Approaches for Word Alignment in Dravidian Languages COLING 2025 Pose as a Modality: A Psychology-Inspired Network for Personality Recognition with a New Multimodal Dataset AAAI 2025 PoseLLaVA: Pose Centric Multimodal LLM for Fine-Grained 3D Pose Manipulation AAAI 2025 Pose-Star: Anatomy-Aware Editing for Open-World Fashion Images ICCV 2025 Position also matters! Separating Same Instruments in String Quartet using Timbral and Positional Cues Interspeech 2025 Position: An Empirically Grounded Identifiability Theory Will Accelerate Self Supervised Learning Research ICML 2025 Position-Aware Depth Decay Decoding (D3): Boosting Large Language Model Inference Efficiency ACL 2025 Position-Aware Guided Point Cloud Completion with CLIP Model AAAI 2025 POSITION BIAS MITIGATES POSITION BIAS: Mitigate Position Bias Through Inter-Position Knowledge Distillation EMNLP 2025 Position: Deep Learning is Not So Mysterious or Different ICML 2025 Positive Experience Reflection for Agents in Interactive Text Environments ACL 2025 Potential Field Based Deep Metric Learning CVPR 2025 Power of Diversity: Enhancing Data-Free Black-Box Attack with Domain-Augmented Learning AAAI 2025 PQR: Improving Dense Retrieval via Potential Query Modeling ACL 2025 Practical Offloading for Fine-Tuning LLM on Commodity GPU via Learned Sparse Projectors AAAI 2025 Praetor: A Fine-Grained Generative LLM Evaluator with Instance-Level Customizable Evaluation Criteria ACL 2025 PRDetect: Perturbation-Robust LLM-generated Text Detection Based on Syntax Tree NAACL 2025 P-React: Synthesizing Topic-Adaptive Reactions of Personality Traits via Mixture of Specialized LoRA Experts ACL 2025 Precise Event Spotting in Sports Videos: Solving Long-Range Dependency and Class Imbalance CVPR 2025