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)
Tokenization, Fusion, and Augmentation: Towards Fine-grained Multi-modal Entity Representation
AAAI 2025
Token-Level Accept or Reject: A Micro Alignment Approach for Large Language Models
IJCAI 2025
Token-level Proximal Policy Optimization for Query Generation
EMNLP 2025
TokenMatcher: Diverse Tokens Matching for Unsupervised Visible-Infrared Person Re-Identification
AAAI 2025
TokenShapley: Token Level Context Attribution with Shapley Value
ACL 2025
TokenSmith: Streamlining Data Editing, Search, and Inspection for Large-Scale Language Model Training and Interpretability
EMNLP 2025
TokenUnify: Scaling Up Autoregressive Pretraining for Neuron Segmentation
ICCV 2025
TombRaider: Entering the Vault of History to Jailbreak Large Language Models
EMNLP 2025
Tongue-Tied: Breaking LLMs Safety Through New Language Learning
NAACL 2025
Too Helpful, Too Harmless, Too Honest or Just Right?
EMNLP 2025
ToolReAGt: Tool Retrieval for LLM-based Complex Task Solution via Retrieval Augmented Generation
ACL 2025
ToolReflection: Improving Large Language Models for Real-World API Calls with Self-Generated Data
ACL 2025
Toolscaler: Scalable Generative Tool Calling via Structure-Aware Semantic Tokenization
EMNLP 2025
TopoTTA: Topology-Enhanced Test-Time Adaptation for Tubular Structure Segmentation
ICCV 2025
Tore-Klose: Record Scorer, Goal Hunter, Machine? Human Association Norms for German Personal Name Compounds
ACL 2025
Toward Efficient Data-Free Unlearning
AAAI 2025
Toward Efficient Multi-Agent Exploration With Trajectory Entropy Maximization
ICLR 2025
Toward Efficient Sparse Autoencoder-Guided Steering for Improved In-Context Learning in Large Language Models
EMNLP 2025
Toward Modality Gap: Vision Prototype Learning for Weakly-supervised Semantic Segmentation with CLIP
AAAI 2025
Towards Accurate and Efficient 3D Object Detection for Autonomous Driving: A Mixture of Experts Computing System on Edge
ICCV 2025
Towards Accurate Phonetic Error Detection Through Phoneme Similarity Modeling
Interspeech 2025
Towards Adaptive Memory-Based Optimization for Enhanced Retrieval-Augmented Generation
ACL 2025
Towards Adversarially Robust Dataset Distillation by Curvature Regularization
AAAI 2025
Towards a General Time Series Anomaly Detector with Adaptive Bottlenecks and Dual Adversarial Decoders
ICLR 2025
Towards a mathematical theory for consistency training in diffusion models
AISTATS 2025