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 Fairness-aware Adversarial Network Pruning
ICCV 2023
Towards Faithful Dialogues via Focus Learning
ACL 2023
Towards Good Practices for Missing Modality Robust Action Recognition
AAAI 2023
Towards Higher Pareto Frontier in Multilingual Machine Translation
ACL 2023
Towards Imperceptible Document Manipulations against Neural Ranking Models
ACL 2023
Towards In-Distribution Compatible Out-of-Distribution Detection
AAAI 2023
Towards Inference Efficient Deep Ensemble Learning
AAAI 2023
Towards Informative Few-Shot Prompt with Maximum Information Gain for In-Context Learning
EMNLP 2023
Towards Instance-adaptive Inference for Federated Learning
ICCV 2023
Towards Interpreting and Utilizing Symmetry Property in Adversarial Examples
AAAI 2023
Towards Learning to Discover Money Laundering Sub-network in Massive Transaction Network
AAAI 2023
Towards Leaving No Indic Language Behind: Building Monolingual Corpora, Benchmark and Models for Indic Languages
ACL 2023
Towards Noise-Tolerant Speech-Referring Video Object Segmentation: Bridging Speech and Text
EMNLP 2023
Towards Parameter-Efficient Integration of Pre-Trained Language Models In Temporal Video Grounding
ACL 2023
Towards Personalized Federated Learning via Heterogeneous Model Reassembly
NeurIPS 2023
Towards Practical Plug-and-Play Diffusion Models
CVPR 2023
Towards Reference-free Text Simplification Evaluation with a BERT Siamese Network Architecture
ACL 2023
Towards Reliable Neural Machine Translation with Consistency-Aware Meta-Learning
AAAI 2023
Towards robust and generalizable representations of extracellular data using contrastive learning
NeurIPS 2023
Towards Robust Low-Resource Fine-Tuning with Multi-View Compressed Representations
ACL 2023
Towards Robust Metrics for Concept Representation Evaluation
AAAI 2023
Towards Robust Personalized Dialogue Generation via Order-Insensitive Representation Regularization
ACL 2023
Towards Robust Ranker for Text Retrieval
ACL 2023
Towards Stable Test-time Adaptation in Dynamic Wild World
ICLR 2023
Towards the Difficulty for a Deep Neural Network to Learn Concepts of Different Complexities
NeurIPS 2023