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)
ES3: Evolving Self-Supervised Learning of Robust Audio-Visual Speech Representations
CVPR 2024
ESRL: Efficient Sampling-Based Reinforcement Learning for Sequence Generation
AAAI 2024
Estimating Ego-Body Pose from Doubly Sparse Egocentric Video Data
NeurIPS 2024
ETAS: Zero-Shot Transformer Architecture Search via Network Trainability and Expressivity
ACL 2024
eTraM: Event-based Traffic Monitoring Dataset
CVPR 2024
Et Tu Certifications: Robustness Certificates Yield Better Adversarial Examples
ICML 2024
Evaluate Geometry of Radiance Fields with Low-Frequency Color Prior
AAAI 2024
Evaluating Concurrent Robustness of Language Models Across Diverse Challenge Sets
EMNLP 2024
Evaluating In-Context Learning for Computational Literary Studies: A Case Study Based on the Automatic Recognition of Knowledge Transfer in German Drama
EACL 2024
Evaluating Short-Term Temporal Fluctuations of Social Biases in Social Media Data and Masked Language Models
EMNLP 2024
Evaluating the Effectiveness of Retrieval-Augmented Large Language Models in Scientific Document Reasoning
ACL 2024
Evaluating the Validity of Word-level Adversarial Attacks with Large Language Models
ACL 2024
Evaluating the Zero-shot Robustness of Instruction-tuned Language Models
ICLR 2024
EVE: Efficient Vision-Language Pre-training with Masked Prediction and Modality-Aware MoE
AAAI 2024
Event-based Visible and Infrared Fusion via Multi-task Collaboration
CVPR 2024
EventDance: Unsupervised Source-free Cross-modal Adaptation for Event-based Object Recognition
CVPR 2024
Event-Keyed Summarization
EMNLP 2024
Event Stream-based Visual Object Tracking: A High-Resolution Benchmark Dataset and A Novel Baseline
CVPR 2024
EVEREST: Efficient Masked Video Autoencoder by Removing Redundant Spatiotemporal Tokens
ICML 2024
Everyday Object Meets Vision-and-Language Navigation Agent via Backdoor
NeurIPS 2024
Everything2Motion: Synchronizing Diverse Inputs via a Unified Framework for Human Motion Synthesis
AAAI 2024
Everything of Thoughts: Defying the Law of Penrose Triangle for Thought Generation
ACL 2024
Evidence-Focused Fact Summarization for Knowledge-Augmented Zero-Shot Question Answering
EMNLP 2024
Evidence of Learned Look-Ahead in a Chess-Playing Neural Network
NeurIPS 2024
Evidential Stochastic Differential Equations for Time-Aware Sequential Recommendation
NeurIPS 2024