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)
Latin Treebanks in Review: An Evaluation of Morphological Tagging Across Time
ACL 2024
LA-UCL: LLM-Augmented Unsupervised Contrastive Learning Framework for Few-Shot Text Classification
COLING 2024
LaViP: Language-Grounded Visual Prompting
AAAI 2024
LAVSS: Location-Guided Audio-Visual Spatial Audio Separation
WACV 2024
Layer Attack Unlearning: Fast and Accurate Machine Unlearning via Layer Level Attack and Knowledge Distillation
AAAI 2024
Layer by Layer: Uncovering Where Multi-Task Learning Happens in Instruction-Tuned Large Language Models
EMNLP 2024
Layer Compression of Deep Networks with Straight Flows
AAAI 2024
Layer-Wise Auto-Weighting for Non-Stationary Test-Time Adaptation
WACV 2024
LC4EE: LLMs as Good Corrector for Event Extraction
ACL 2024
LCS: A Language Converter Strategy for Zero-Shot Neural Machine Translation
ACL 2024
LDMVFI: Video Frame Interpolation with Latent Diffusion Models
AAAI 2024
LDReg: Local Dimensionality Regularized Self-Supervised Learning
ICLR 2024
LEAD: Exploring Logit Space Evolution for Model Selection
CVPR 2024
LEAD: Learning Decomposition for Source-free Universal Domain Adaptation
CVPR 2024
Learn Beyond The Answer: Training Language Models with Reflection for Mathematical Reasoning
EMNLP 2024
Learn How to See: Collaborative Embodied Learning for Object Detection and Camera Adjusting
AAAI 2024
Learning 1D Causal Visual Representation with De-focus Attention Networks
NeurIPS 2024
Learning Accurate and Bidirectional Transformation via Dynamic Embedding Transportation for Cross-Domain Recommendation
AAAI 2024
Learning Adaptive Multiresolution Transforms via Meta-Framelet-based Graph Convolutional Network
ICLR 2024
Learning Adaptive Spatial Coherent Correlations for Speech-Preserving Facial Expression Manipulation
CVPR 2024
Learning an Actionable Discrete Diffusion Policy via Large-Scale Actionless Video Pre-Training
NeurIPS 2024
Learning Better Representations From Less Data For Propositional Satisfiability
NeurIPS 2024
Learning by Correction: Efficient Tuning Task for Zero-Shot Generative Vision-Language Reasoning
CVPR 2024
Learning Class and Domain Augmentations for Single-Source Open-Domain Generalization
WACV 2024
Learning Content-Enhanced Mask Transformer for Domain Generalized Urban-Scene Segmentation
AAAI 2024