Learning Types
56,253 papers (3 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Self-Supervised Learning (8,965)
Adversarial Learning (5,204)
Unsupervised Learning (4,874)
Transfer Learning (4,808)
Weakly Supervised Learning (3,938)
Contrastive Learning (3,748)
Zero-Shot Learning (3,130)
Semi-Supervised Learning (3,128)
Reinforcement Learning (3,118)
Multi-Task Learning (2,556)
Evaluation (2,164)
Continual Learning (2,107)
Active Learning (1,983)
Few-Shot Learning (1,840)
Deep Learning (1,404)
Online Learning (1,360)
Multi-Armed Bandits (1,327)
Multimodal Learning (1,289)
Supervised Learning (986)
Multi-Agent Systems (813)
Uncertainty Quantification (805)
Causal Inference (636)
Robustness (576)
Retrieval-Augmented Generation (565)
Fine-Tuning (490)
Ensemble Learning (482)
In-Context Learning (439)
Multi-Label Classification (430)
Imitation Learning (387)
Prompt Engineering (270)
Multi-Lingual Learning (269)
Distribution Shift (264)
Reinforcement Learning from Human Feedback (209)
Regularization (207)
Exploration-Exploitation (203)
Generative Models (200)
Multi-Objective Optimization (185)
Out-of-Distribution Detection (176)
Sparse Learning (165)
Sampling (150)
Preference Learning (136)
Offline Reinforcement Learning (130)
Multi-Label Learning (128)
Markov Decision Process (127)
Neural Architecture Search (122)
Multi-Instance Learning (121)
Multi-View Learning (117)
Robust Learning (110)
Generative Model (110)
Time Series (108)
Large Language Models (104)
Exploration (103)
Hyperparameter Optimization (99)
Machine Unlearning (95)
Imbalanced Learning (93)
Machine Translation (93)
Multi-Class Classification (85)
Differential Privacy (82)
Time Series Analysis (71)
Reasoning (70)
Calibration (67)
Structure Learning (66)
Physics-Informed Learning (62)
Class Imbalance (58)
Model-Based RL (55)
Interactive Learning (55)
Multi-Domain Learning (47)
Inverse Reinforcement Learning (46)
Crowdsourcing (40)
Off-Policy Learning (38)
Label Noise (38)
Noisy Label Learning (35)
Offline RL (32)
Attention (32)
Evolutionary Algorithm (32)
Decision Making (31)
Policy Learning (30)
Personalization (28)
Low-Resource Learning (26)
Collaborative Filtering (25)
Self-Training (24)
Sequential Modeling (24)
Parameter Estimation (23)
Survival Analysis (21)
Machine Learning (20)
Parameter-Efficient Fine-Tuning (20)
Synthetic Data Generation (20)
Annotation (18)
Symbolic Regression (18)
AutoML (16)
Security (15)
Multi-Source Learning (13)
Distant Supervision (13)
Text Generation (11)
Distributional Reinforcement Learning (9)
Sentiment Analysis (9)
Multi-Hop Reasoning (9)
Language Modeling (9)
Code Generation (8)
Multi-Object Tracking (8)
Natural Language Inference (7)
Chain-of-Thought (6)
Question Answering (5)
Papers per year
1
8
12
26
18
20
135
136
147
149
220
231
316
526
460
477
660
1,314
2,083
3,689
4,652
5,914
6,826
8,201
8,755
9,258
2,019
2000
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Papers (including subtopics)
Generalisation through Negation and Predicate Invention
AAAI 2024
Generalizability of Mixture of Domain-Specific Adapters from the Lens of Signed Weight Directions and its Application to Effective Model Pruning
ACL 2024
Generalizable Fourier Augmentation for Unsupervised Video Object Segmentation
AAAI 2024
Generalizable Policy Improvement via Reinforcement Sampling (Student Abstract)
AAAI 2024
Generalizable Sarcasm Detection is Just Around the Corner, of Course!
NAACL 2024
Generalizable Task Representation Learning for Offline Meta-Reinforcement Learning with Data Limitations
AAAI 2024
Generalizable Whole Slide Image Classification with Fine-Grained Visual-Semantic Interaction
CVPR 2024
Generalization and Stability of Interpolating Neural Networks with Minimal Width
JMLR 2024
Generalization Bound and New Algorithm for Clean-Label Backdoor Attack
ICML 2024
Generalization Measures for Zero-Shot Cross-Lingual Transfer
EMNLP 2024
Generalization or Memorization: Data Contamination and Trustworthy Evaluation for Large Language Models
ACL 2024
Generalized Category Discovery with Large Language Models in the Loop
ACL 2024
Generalized Fast Exact Conformalization
NeurIPS 2024
Generalized Independent Noise Condition for Estimating Causal Structure with Latent Variables
JMLR 2024
Generalized Source Tracing: Detecting Novel Audio Deepfake Algorithm with Real Emphasis and Fake Dispersion Strategy
Interspeech 2024
Generalize or Detect? Towards Robust Semantic Segmentation Under Multiple Distribution Shifts
NeurIPS 2024
Generalizing Clinical De-identification Models by Privacy-safe Data Augmentation using GPT-4
EMNLP 2024
Generalizing Conversational Dense Retrieval via LLM-Cognition Data Augmentation
ACL 2024
Generalizing Weather Forecast to Fine-grained Temporal Scales via Physics-AI Hybrid Modeling
NeurIPS 2024
General Point Model Pretraining with Autoencoding and Autoregressive
CVPR 2024
Generate Like Experts: Multi-Stage Font Generation by Incorporating Font Transfer Process into Diffusion Models
CVPR 2024
Generate Synthetic Text Approximating the Private Distribution with Differential Privacy
IJCAI 2024
Generate-then-Ground in Retrieval-Augmented Generation for Multi-hop Question Answering
ACL 2024
Generate then Refine: Data Augmentation for Zero-shot Intent Detection
EMNLP 2024
Generating and Imputing Tabular Data via Diffusion and Flow-based Gradient-Boosted Trees
AISTATS 2024