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 Artwork Explanation in Large-scale Vision Language Models
ACL 2024
Towards a Theoretical Understanding of the 'Reversal Curse' via Training Dynamics
NeurIPS 2024
Towards a theory of how the structure of language is acquired by deep neural networks
NeurIPS 2024
Towards a "Universal Translator" for Neural Dynamics at Single-Cell, Single-Spike Resolution
NeurIPS 2024
Towards Backward-Compatible Continual Learning of Image Compression
CVPR 2024
Towards Better Understanding of Contrastive Sentence Representation Learning: A Unified Paradigm for Gradient
ACL 2024
Towards Calibrated Multi-label Deep Neural Networks
CVPR 2024
Towards CLIP-driven Language-free 3D Visual Grounding via 2D-3D Relational Enhancement and Consistency
CVPR 2024
Towards Combating Frequency Simplicity-biased Learning for Domain Generalization
NeurIPS 2024
Towards Continual Knowledge Graph Embedding via Incremental Distillation
AAAI 2024
Towards Croppable Implicit Neural Representations
NeurIPS 2024
Towards Difficulty-Agnostic Efficient Transfer Learning for Vision-Language Models
EMNLP 2024
Towards Diverse Behaviors: A Benchmark for Imitation Learning with Human Demonstrations
ICLR 2024
Towards Diverse Perspective Learning with Selection over Multiple Temporal Poolings
AAAI 2024
Towards Efficient and Effective Text-to-Video Retrieval with Coarse-to-Fine Visual Representation Learning
AAAI 2024
Towards efficient self-supervised representation learning in speech processing
EACL 2024
Towards Efficient Visual-Language Alignment of the Q-Former for Visual Reasoning Tasks
EMNLP 2024
Toward Self-Improvement of LLMs via Imagination, Searching, and Criticizing
NeurIPS 2024
Towards Exact Gradient-based Training on Analog In-memory Computing
NeurIPS 2024
Towards Explainable Joint Models via Information Theory for Multiple Intent Detection and Slot Filling
AAAI 2024
Towards Fairer Centroids in K-means Clustering
AAAI 2024
Towards Fairness-Aware Adversarial Learning
CVPR 2024
Towards Generalization beyond Pointwise Learning: A Unified Information-theoretic Perspective
ICML 2024
Towards Generalizing to Unseen Domains with Few Labels
CVPR 2024
Towards Global Optimal Visual In-Context Learning Prompt Selection
NeurIPS 2024