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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)

Pandora’s Box or Aladdin’s Lamp: A Comprehensive Analysis Revealing the Role of RAG Noise in Large Language Models ACL 2025 PanSt3R: Multi-view Consistent Panoptic Segmentation ICCV 2025 Parallel Backpropagation for Inverse of a Convolution with Application to Normalizing Flows AISTATS 2025 Parallelized Autoregressive Visual Generation CVPR 2025 Parallel-Learning of Invariant and Tempo-variant Attributes of Single-Lead Cardiac Signals: PLITA AAAI 2025 Parameter-Aware Contrastive Knowledge Editing: Tracing and Rectifying based on Critical Transmission Paths ACL 2025 Parameter-Efficient Adaptation of Geospatial Foundation Models through Embedding Deflection ICCV 2025 Parameter-Efficient Fine-Tuning for Low-Resource Text-to-Speech via Cross-Lingual Continual Learning Interspeech 2025 Parameter-efficient Fine-tuning of Conformer-based Streaming Speech Recognition into Non-streaming Models Interspeech 2025 Parameter Efficient Fine-Tuning of Segment Anything Model for Biomedical Imaging MIDL 2025 Parameter-Efficient Fine-Tuning via Circular Convolution ACL 2025 Parameter-Efficient Fine-tuning with Instance-Aware Prompt and Parallel Adapters for Speaker Verification Interspeech 2025 PARC: A Quantitative Framework Uncovering the Symmetries within Vision Language Models CVPR 2025 Parenting: Optimizing Knowledge Selection of Retrieval-Augmented Language Models with Parameter Decoupling and Tailored Tuning ACL 2025 Parrot: A Training Pipeline Enhances Both Program CoT and Natural Language CoT for Reasoning EMNLP 2025 PARROT: Synergizing Mamba and Attention-based SSL Pre-Trained Models via Parallel Branch Hadamard Optimal Transport for Speech Emotion Recognition Interspeech 2025 PartField: Learning 3D Feature Fields for Part Segmentation and Beyond ICCV 2025 Partial-Label Learning with Conformal Candidate Cleaning UAI 2025 PASS: Private Attributes Protection with Stochastic Data Substitution ICML 2025 PASTA: Part-Aware Sketch-to-3D Shape Generation with Text-Aligned Prior ICCV 2025 PAST: Phonetic-Acoustic Speech Tokenizer Interspeech 2025 Patch Matters: Training-free Fine-grained Image Caption Enhancement via Local Perception CVPR 2025 Patch-wise Structural Loss for Time Series Forecasting ICML 2025 PATeam at SemEval-2025 Task 9: LLM-Augmented Fusion for AI-Driven Food Safety Hazard Detection SemEval 2025 PathoHR: Hierarchical Reasoning for Vision-Language Models in Pathology EMNLP 2025