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)
Adversarial Backdoor Attack by Naturalistic Data Poisoning on Trajectory Prediction in Autonomous Driving
CVPR 2024
Adversarial Distillation Based on Slack Matching and Attribution Region Alignment
CVPR 2024
Adversarial Environment Design via Regret-Guided Diffusion Models
NeurIPS 2024
Adversarial Imitation Learning via Boosting
ICLR 2024
Adversarial Initialization with Universal Adversarial Perturbation: A New Approach to Fast Adversarial Training
AAAI 2024
Adversarial Learning for Multi-Lingual Entity Linking
ACL 2024
Adversarially Robust Few-shot Learning via Parameter Co-distillation of Similarity and Class Concept Learners
CVPR 2024
Adversarially Trained Weighted Actor-Critic for Safe Offline Reinforcement Learning
NeurIPS 2024
Adversarial Math Word Problem Generation
EMNLP 2024
Adversarial Purification with the Manifold Hypothesis
AAAI 2024
Adversarial Schrödinger Bridge Matching
NeurIPS 2024
AdvST: Revisiting Data Augmentations for Single Domain Generalization
AAAI 2024
A Dynamic GCN with Cross-Representation Distillation for Event-Based Learning
AAAI 2024
A Dynamic Learning Method towards Realistic Compositional Zero-Shot Learning
AAAI 2024
AETTA: Label-Free Accuracy Estimation for Test-Time Adaptation
CVPR 2024
AFBench: A Large-scale Benchmark for Airfoil Design
NeurIPS 2024
A-FedPD: Aligning Dual-Drift is All Federated Primal-Dual Learning Needs
NeurIPS 2024
A Fixed-Point Approach to Unified Prompt-Based Counting
AAAI 2024
A Foundation Model for Zero-shot Logical Query Reasoning
NeurIPS 2024
AfriInstruct: Instruction Tuning of African Languages for Diverse Tasks
EMNLP 2024
A General Implicit Framework for Fast NeRF Composition and Rendering
AAAI 2024
A General Protocol to Probe Large Vision Models for 3D Physical Understanding
NeurIPS 2024
A General Theoretical Paradigm to Understand Learning from Human Preferences
AISTATS 2024
A Generative Model of Symmetry Transformations
NeurIPS 2024
AgentDojo: A Dynamic Environment to Evaluate Prompt Injection Attacks and Defenses for LLM Agents
NeurIPS 2024