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)
Towards Harmless Rawlsian Fairness Regardless of Demographic Prior
NeurIPS 2024
Towards Holistic, Pragmatic and Multimodal Conversational Systems
AAAI 2024
Towards Injecting Medical Visual Knowledge into Multimodal LLMs at Scale
EMNLP 2024
Towards Language-Driven Video Inpainting via Multimodal Large Language Models
CVPR 2024
Towards Large Certified Radius in Randomized Smoothing Using Quasiconcave Optimization
AAAI 2024
Towards Large-scale 3D Representation Learning with Multi-dataset Point Prompt Training
CVPR 2024
Towards Learning Group-Equivariant Features for Domain Adaptive 3D Detection
NeurIPS 2024
Towards Low-Resource Harmful Meme Detection with LMM Agents
EMNLP 2024
Towards Model Extraction Attacks in GAN-Based Image Translation via Domain Shift Mitigation
AAAI 2024
Towards Modern Image Manipulation Localization: A Large-Scale Dataset and Novel Methods
CVPR 2024
Towards More Faithful Natural Language Explanation Using Multi-Level Contrastive Learning in VQA
AAAI 2024
Towards More Unified In-context Visual Understanding
CVPR 2024
Towards Multi-modal Sarcasm Detection via Disentangled Multi-grained Multi-modal Distilling
COLING 2024
Towards Neuro-Symbolic Video Understanding
ECCV 2024
Towards Open-Vocabulary Semantic Segmentation Without Semantic Labels
NeurIPS 2024
Towards Optimal Feature-Shaping Methods for Out-of-Distribution Detection
ICLR 2024
Towards Pareto-Efficient RLHF: Paying Attention to a Few High-Reward Samples with Reward Dropout
EMNLP 2024
Towards Precise Localization of Critical Errors in Machine Translation
ACL 2024
Towards Progressive Multi-Frequency Representation for Image Warping
CVPR 2024
Towards Real-World HDR Video Reconstruction: A Large-Scale Benchmark Dataset and A Two-Stage Alignment Network
CVPR 2024
Towards Real-World Test-Time Adaptation: Tri-net Self-Training with Balanced Normalization
AAAI 2024
Towards Representation Learning for Weighting Problems in Design-Based Causal Inference
UAI 2024
Towards Robust 3D Pose Transfer with Adversarial Learning
CVPR 2024
Towards Robust Event-guided Low-Light Image Enhancement: A Large-Scale Real-World Event-Image Dataset and Novel Approach
CVPR 2024
Towards Robust Multimodal Sentiment Analysis with Incomplete Data
NeurIPS 2024