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)
Efficient Continual Pre-training for Building Domain Specific Large Language Models
ACL 2024
Efficient Contrastive Learning for Fast and Accurate Inference on Graphs
ICML 2024
Efficient Dataset Distillation via Minimax Diffusion
CVPR 2024
Efficient Dynamic Hard Negative Sampling for Dialogue Selection
ACL 2024
Efficient Dynamics Modeling in Interactive Environments with Koopman Theory
ICLR 2024
Efficient Expansion and Gradient Based Task Inference for Replay Free Incremental Learning
WACV 2024
Efficient k-Nearest-Neighbor Machine Translation with Dynamic Retrieval
ACL 2024
Efficient Knowledge Infusion via KG-LLM Alignment
ACL 2024
Efficient Large Multi-modal Models via Visual Context Compression
NeurIPS 2024
Efficient Learning of Event-based Dense Representation using Hierarchical Memories with Adaptive Update
ECCV 2024
Efficiently Exploring Large Language Models for Document-Level Machine Translation with In-context Learning
ACL 2024
Efficient Multi-task LLM Quantization and Serving for Multiple LoRA Adapters
NeurIPS 2024
Efficient Pointwise-Pairwise Learning-to-Rank for News Recommendation
EMNLP 2024
EfficientRAG: Efficient Retriever for Multi-Hop Question Answering
EMNLP 2024
Efficient Recurrent Off-Policy RL Requires a Context-Encoder-Specific Learning Rate
NeurIPS 2024
Efficient Representation Learning of Satellite Image Time Series and Their Fusion for Spatiotemporal Applications
AAAI 2024
EfficientSAM: Leveraged Masked Image Pretraining for Efficient Segment Anything
CVPR 2024
Efficient Spiking Neural Networks with Sparse Selective Activation for Continual Learning
AAAI 2024
Efficient Stitchable Task Adaptation
CVPR 2024
Efficient Temporal Extrapolation of Multimodal Large Language Models with Temporal Grounding Bridge
EMNLP 2024
Efficient Test-Time Adaptation of Vision-Language Models
CVPR 2024
Efficient Unseen Language Adaptation for Multilingual Pre-Trained Language Models
EMNLP 2024
Efficient Vision-Language Pre-training by Cluster Masking
CVPR 2024
Efficient Vision-Language pre-training via domain-specific learning for human activities
EMNLP 2024
EFUF: Efficient Fine-Grained Unlearning Framework for Mitigating Hallucinations in Multimodal Large Language Models
EMNLP 2024