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)
Rethinking Neural Multi-Objective Combinatorial Optimization via Neat Weight Embedding
ICLR 2025
Rethinking Personalized Aesthetics Assessment: Employing Physique Aesthetics Assessment as An Exemplification
CVPR 2025
Rethinking Pseudo-Label Guided Learning for Weakly Supervised Temporal Action Localization from the Perspective of Noise Correction
AAAI 2025
Rethinking Semantic Parsing for Large Language Models: Enhancing LLM Performance with Semantic Hints
ACL 2025
Rethinking Temporal Fusion with a Unified Gradient Descent View for 3D Semantic Occupancy Prediction
CVPR 2025
Re-thinking Temporal Search for Long-Form Video Understanding
CVPR 2025
Rethinking Text-based Protein Understanding: Retrieval or LLM?
EMNLP 2025
Rethinking the Adversarial Robustness of Multi-Exit Neural Networks in an Attack-Defense Game
CVPR 2025
Rethinking the Role of Prompting Strategies in LLM Test-Time Scaling: A Perspective of Probability Theory
ACL 2025
Rethinking the Roles of Large Language Models in Chinese Grammatical Error Correction
ACL 2025
Rethinking the Starting Point: Collaborative Pre-Training for Federated Downstream Tasks
AAAI 2025
Rethinking Time Encoding via Learnable Transformation Functions
ICML 2025
Rethinking Transformer-Based Blind-Spot Network for Self-Supervised Image Denoising
AAAI 2025
ReTracker: Exploring Image Matching for Robust Online Any Point Tracking
ICCV 2025
RETRACTED: GEONet: Global Enhancement and Optimization Network for Lane Detection
AAAI 2025
Retrieval-Augmented Dynamic Prompt Tuning for Incomplete Multimodal Learning
AAAI 2025
Retrieval-Augmented Fine-Tuning With Preference Optimization For Visual Program Generation
ACL 2025
Retrieval-Augmented Forecasting with Tabular Time Series Data
ACL 2025
Retrieval-Augmented Generation Meets Local Languages for Improved Drug Information Access and Comprehension.
ACL 2025
Retrieval-Augmented Process Reward Model for Generalizable Mathematical Reasoning
ACL 2025
Retrieval-Augmented Visual Question Answering via Built-in Autoregressive Search Engines
AAAI 2025
Retrieval Visual Contrastive Decoding to Mitigate Object Hallucinations in Large Vision-Language Models
ACL 2025
Retrieve to Explain: Evidence-driven Predictions for Explainable Drug Target Identification
ACL 2025
Retrieving Argument Graphs Using Vision Transformers
ACL 2025
RetroDiff: Retrosynthesis as Multi-stage Distribution Interpolation
AISTATS 2025