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)
Improving Accuracy and Generalization for Efficient Visual Tracking
WACV 2025
Improving Adversarial Transferability on Vision Transformers via Forward Propagation Refinement
CVPR 2025
Improving Adversarial Transferability via Decision Boundary Adaptation
UAI 2025
Improving AI assistants embedded in short e-learning courses with limited textual content
ACL 2025
Improving Audio Classification by Transitioning from Zero- to Few-Shot
Interspeech 2025
Improving Autoregressive Visual Generation with Cluster-Oriented Token Prediction
CVPR 2025
Improving Clustering with Positive Pairs Generated from LLM-Driven Labels
EMNLP 2025
Improving Context Fidelity via Native Retrieval-Augmented Reasoning
EMNLP 2025
Improving Contextual Faithfulness of Large Language Models via Retrieval Heads-Induced Optimization
ACL 2025
Improving Continual Learning Performance and Efficiency with Auxiliary Classifiers
ICML 2025
Improving Continual Pre-training Through Seamless Data Packing
ACL 2025
Improving Deep Learning Speed and Performance Through Synaptic Neural Balance
AAAI 2025
Improving Deep Regression with Tightness
ICLR 2025
Improving Editability in Image Generation with Layer-wise Memory
CVPR 2025
Improving End-to-end Mixed-case ASR with Knowledge Distillation and Integration of Voice Activity Cues
Interspeech 2025
Improving Factuality in Large Language Models via Decoding-Time Hallucinatory and Truthful Comparators
AAAI 2025
Improving Factuality with Explicit Working Memory
ACL 2025
Improving Faithfulness of Text-to-Image Diffusion Models through Inference Intervention
WACV 2025
Improving Generalization of Universal Adversarial Perturbation via Dynamic Maximin Optimization
AAAI 2025
Improving Graph Contrastive Learning with Community Structure
UAI 2025
Improving In-context Learning Example Retrieval for Classroom Discussion Assessment with Re-ranking and Label Ratio Regulation
ACL 2025
Improving Integrated Gradient-based Transferable Adversarial Examples by Refining the Integration Path
AAAI 2025
Improving Language and Modality Transfer in Translation by Character-level Modeling
ACL 2025
Improving Large Language Model Safety with Contrastive Representation Learning
EMNLP 2025
Improving Low-Resource Dialect Classification Using Retrieval-based Voice Conversion
Interspeech 2025