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)
Topologically Faithful Image Segmentation via Induced Matching of Persistence Barcodes
ICML 2023
ToThePoint: Efficient Contrastive Learning of 3D Point Clouds via Recycling
CVPR 2023
TOT:Topology-Aware Optimal Transport for Multimodal Hate Detection
AAAI 2023
ToViLaG: Your Visual-Language Generative Model is Also An Evildoer
EMNLP 2023
Toward Adversarial Training on Contextualized Language Representation
ICLR 2023
Toward Re-Identifying Any Animal
NeurIPS 2023
Towards a better understanding of representation dynamics under TD-learning
ICML 2023
Towards Adaptive Prefix Tuning for Parameter-Efficient Language Model Fine-tuning
ACL 2023
Towards a Deep Understanding of Multilingual End-to-End Speech Translation
EMNLP 2023
Towards a Holistic Understanding of Mathematical Questions with Contrastive Pre-training
AAAI 2023
Towards Alleviating the Object Bias in Prompt Tuning-based Factual Knowledge Extraction
ACL 2023
Towards a Mechanistic Interpretation of Multi-Step Reasoning Capabilities of Language Models
EMNLP 2023
Towards Anytime Fine-tuning: Continually Pre-trained Language Models with Hypernetwork Prompts
EMNLP 2023
Towards Artistic Image Aesthetics Assessment: A Large-Scale Dataset and a New Method
CVPR 2023
Towards a Smaller Student: Capacity Dynamic Distillation for Efficient Image Retrieval
CVPR 2023
Towards Better Graph Representation Learning with Parameterized Decomposition & Filtering
ICML 2023
Towards Better Hierarchical Text Classification with Data Generation
ACL 2023
Towards Better Representations for Multi-Label Text Classification with Multi-granularity Information
EMNLP 2023
Towards Bridging the Performance Gaps of Joint Energy-Based Models
CVPR 2023
Towards Building More Robust NER datasets: An Empirical Study on NER Dataset Bias from a Dataset Difficulty View
EMNLP 2023
Towards Domain Generalization for Multi-View 3D Object Detection in Bird-Eye-View
CVPR 2023
Towards Effective Instance Discrimination Contrastive Loss for Unsupervised Domain Adaptation
ICCV 2023
Towards Efficient Use of Multi-Scale Features in Transformer-Based Object Detectors
CVPR 2023
Towards Evaluating Transfer-based Attacks Systematically, Practically, and Fairly
NeurIPS 2023
Towards Example-Based NMT with Multi-Levenshtein Transformers
EMNLP 2023