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)
RAt: Injecting Implicit Bias for Text-To-Image Prompt Refinement Models
EMNLP 2024
Rationale-Aware Answer Verification by Pairwise Self-Evaluation
EMNLP 2024
Rationales for Answers to Simple Math Word Problems Confuse Large Language Models
ACL 2024
RaVL: Discovering and Mitigating Spurious Correlations in Fine-Tuned Vision-Language Models
NeurIPS 2024
RCL: Reliable Continual Learning for Unified Failure Detection
CVPR 2024
RDRec: Rationale Distillation for LLM-based Recommendation
ACL 2024
README: Bridging Medical Jargon and Lay Understanding for Patient Education through Data-Centric NLP
EMNLP 2024
READ-PVLA: Recurrent Adapter with Partial Video-Language Alignment for Parameter-Efficient Transfer Learning in Low-Resource Video-Language Modeling
AAAI 2024
Real-IAD: A Real-World Multi-View Dataset for Benchmarking Versatile Industrial Anomaly Detection
CVPR 2024
Realistic Unsupervised CLIP Fine-tuning with Universal Entropy Optimization
ICML 2024
Real-Time Recurrent Learning using Trace Units in Reinforcement Learning
NeurIPS 2024
Real-Time Simulated Avatar from Head-Mounted Sensors
CVPR 2024
Real-World Mobile Image Denoising Dataset with Efficient Baselines
CVPR 2024
REAR: A Relevance-Aware Retrieval-Augmented Framework for Open-Domain Question Answering
EMNLP 2024
Reasoning Paths with Reference Objects Elicit Quantitative Spatial Reasoning in Large Vision-Language Models
EMNLP 2024
Reawakening knowledge: Anticipatory recovery from catastrophic interference via structured training
NeurIPS 2024
REBEL: Reinforcement Learning via Regressing Relative Rewards
NeurIPS 2024
ReBERT at HSD-2Lang 2024: Fine-Tuning BERT with AdamW for Hate Speech Detection in Arabic and Turkish
EACL 2024
Rebuilding ROME : Resolving Model Collapse during Sequential Model Editing
EMNLP 2024
Recognize Any Regions
NeurIPS 2024
ReconBoost: Boosting Can Achieve Modality Reconcilement
ICML 2024
ReConPatch: Contrastive Patch Representation Learning for Industrial Anomaly Detection
WACV 2024
Reconstruction Weighting Principal Component Analysis with Fusion Contrastive Learning
IJCAI 2024
ReCoRe: Regularized Contrastive Representation Learning of World Model
CVPR 2024
RECOST: External Knowledge Guided Data-efficient Instruction Tuning
ACL 2024