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
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'25
Papers (including subtopics)
Towards Cross-speaker Reading Style Transfer on Audiobook Dataset
Interspeech 2022
Towards Data-Free Domain Generalization
ACML 2022
Towards Debiasing DNN Models from Spurious Feature Influence
AAAI 2022
Towards Discriminative Representation: Multi-View Trajectory Contrastive Learning for Online Multi-Object Tracking
CVPR 2022
Towards Effective Multi-Modal Interchanges in Zero-Resource Sounding Object Localization
NeurIPS 2022
Towards Efficient 3D Object Detection with Knowledge Distillation
NeurIPS 2022
Towards Efficient and Scalable Sharpness-Aware Minimization
CVPR 2022
Towards Efficient Data Free Black-Box Adversarial Attack
CVPR 2022
Towards Efficient Dialogue Pre-training with Transferable and Interpretable Latent Structure
EMNLP 2022
Towards Efficiently Learning Monotonic Alignments for Attention-based End-to-End Speech Recognition
Interspeech 2022
Towards End-to-End Image Compression and Analysis with Transformers
AAAI 2022
Towards Fair Dataset Distillation for Text Classification
EMNLP 2022
Towards Fewer Annotations: Active Learning via Region Impurity and Prediction Uncertainty for Domain Adaptive Semantic Segmentation
CVPR 2022
Towards Generalizeable Semantic Product Search by Text Similarity Pre-training on Search Click Logs
ACL 2022
Towards Implicit Text-Guided 3D Shape Generation
CVPR 2022
Towards Improved Distantly Supervised Multilingual Named-Entity Recognition for Tweets
EMNLP 2022
Towards Improving Calibration in Object Detection Under Domain Shift
NeurIPS 2022
Towards Knowledge-Intensive Text-to-SQL Semantic Parsing with Formulaic Knowledge
EMNLP 2022
Towards Lightweight Black-Box Attack Against Deep Neural Networks
NeurIPS 2022
Towards Making the Most of Cross-Lingual Transfer for Zero-Shot Neural Machine Translation
ACL 2022
Towards Modeling Role-Aware Centrality for Dialogue Summarization
AACL 2022
Towards Multi-Domain Single Image Dehazing via Test-Time Training
CVPR 2022
Towards Multimodal Depth Estimation From Light Fields
CVPR 2022
Towards Multi-Modal Sarcasm Detection via Hierarchical Congruity Modeling with Knowledge Enhancement
EMNLP 2022
Towards Multimodal Vision-Language Models Generating Non-generic Text
AAAI 2022