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)
CausalChaos! Dataset for Comprehensive Causal Action Question Answering Over Longer Causal Chains Grounded in Dynamic Visual Scenes
NeurIPS 2024
Causal Discovery Inspired Unsupervised Domain Adaptation for Emotion-Cause Pair Extraction
EMNLP 2024
Causal Estimation of Memorisation Profiles
ACL 2024
Causality-enhanced Discreted Physics-informed Neural Networks for Predicting Evolutionary Equations
IJCAI 2024
Causally Aware Generative Adversarial Networks for Light Pollution Control
AAAI 2024
Causally Motivated Personalized Federated Invariant Learning with Shortcut-Averse Information-Theoretic Regularization
ICML 2024
CausalPC: Improving the Robustness of Point Cloud Classification by Causal Effect Identification
CVPR 2024
Causal Representation Learning via Counterfactual Intervention
AAAI 2024
CCIIPLab at SIGHAN-2024 dimABSA Task: Contrastive Learning-Enhanced Span-based Framework for Chinese Dimensional Aspect-Based Sentiment Analysis
ACL 2024
CCIL: Continuity-Based Data Augmentation for Corrective Imitation Learning
ICLR 2024
C-CLIP: Contrastive Image-Text Encoders To Close the Descriptive-Commentative Gap
WACV 2024
CDPNet: Cross-Modal Dual Phases Network for Point Cloud Completion
AAAI 2024
CED: Comparing Embedding Differences for Detecting Out-of-Distribution and Hallucinated Text
EMNLP 2024
CEDFlow: Latent Contour Enhancement for Dark Optical Flow Estimation
AAAI 2024
CELLO: Causal Evaluation of Large Vision-Language Models
EMNLP 2024
Cell ontology guided transcriptome foundation model
NeurIPS 2024
Cendol: Open Instruction-tuned Generative Large Language Models for Indonesian Languages
ACL 2024
Center-Based Relaxed Learning Against Membership Inference Attacks
UAI 2024
Certified Robustness for Deep Equilibrium Models via Serialized Random Smoothing
NeurIPS 2024
CF-NeRF: Camera Parameter Free Neural Radiance Fields with Incremental Learning
AAAI 2024
CFPL-FAS: Class Free Prompt Learning for Generalizable Face Anti-spoofing
CVPR 2024
CFR-ICL: Cascade-Forward Refinement with Iterative Click Loss for Interactive Image Segmentation
AAAI 2024
C-GAIL: Stabilizing Generative Adversarial Imitation Learning with Control Theory
NeurIPS 2024
CGMGM: A Cross-Gaussian Mixture Generative Model for Few-Shot Semantic Segmentation
AAAI 2024
Chain of Generation: Multi-Modal Gesture Synthesis via Cascaded Conditional Control
AAAI 2024