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
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'25
Papers (including subtopics)
Towards Verifiable Text Generation with Generative Agent
AAAI 2025
Toward Verifiable Instruction-Following Alignment for Retrieval Augmented Generation
AAAI 2025
ToW: Thoughts of Words Improve Reasoning in Large Language Models
NAACL 2025
TPCH: Tensor-interacted Projection and Cooperative Hashing for Multi-view Clustering
AAAI 2025
TPO: Aligning Large Language Models with Multi-branch & Multi-step Preference Trees
ICLR 2025
TPP-Gaze: Modelling Gaze Dynamics in Space and Time with Neural Temporal Point Processes
WACV 2025
TRACE: Training and Inference-Time Interpretability Analysis for Language Models
EMNLP 2025
TRACI: A Data-centric Approach for Multi-Domain Generalization on Graphs
AAAI 2025
Tracing Copied Pixels and Regularizing Patch Affinity in Copy Detection
ICCV 2025
Tracking Universal Features Through Fine-Tuning and Model Merging
NAACL 2025
TrackVerse: A Large-Scale Object-Centric Video Dataset for Image-Level Representation Learning
ICCV 2025
Tracr-Injection: Distilling Algorithms into Pre-trained Language Models
ACL 2025
TRACT: Regression-Aware Fine-tuning Meets Chain-of-Thought Reasoning for LLM-as-a-Judge
ACL 2025
Tradutor: Building a Variety Specific Translation Model
AAAI 2025
TraF-Align: Trajectory-aware Feature Alignment for Asynchronous Multi-agent Perception
CVPR 2025
TrafficLoc: Localizing Traffic Surveillance Cameras in 3D Scenes
ICCV 2025
TRAIL: Trust-Aware Client Scheduling for Semi-Decentralized Federated Learning
AAAI 2025
Trained Transformer Classifiers Generalize and Exhibit Benign Overfitting In-Context
ICLR 2025
Training Articulatory Inversion Models for Interspeaker Consistency
Interspeech 2025
Training a Utility-based Retriever Through Shared Context Attribution for Retrieval-Augmented Language Models
EMNLP 2025
Training Consistent Mixture-of-Experts-Based Prompt Generator for Continual Learning
AAAI 2025
Training Data Provenance Verification: Did Your Model Use Synthetic Data from My Generative Model for Training?
CVPR 2025
Training-Free Image Manipulation Localization Using Diffusion Models
AAAI 2025
Training Language Models to Critique With Multi-agent Feedback
EMNLP 2025
Training Language Model to Critique for Better Refinement
ACL 2025