Learning Types
32,670 papers (1 classified directly here)
Subtopics · a paper can sit in several, so these overlap
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)
Papers per year
1
22
25
29
26
38
46
60
109
129
179
310
686
1,294
2,286
3,018
3,254
3,930
4,067
4,819
5,737
2,605
'10
'15
'20
'25
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