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
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'25
Papers (including subtopics)
Exploring Hint Generation Approaches for Open-Domain Question Answering
EMNLP 2024
Exploring Intrinsic Language-specific Subspaces in Fine-tuning Multilingual Neural Machine Translation
EMNLP 2024
Exploring Large Language Model for Graph Data Understanding in Online Job Recommendations
AAAI 2024
Exploring Learngene via Stage-wise Weight Sharing for Initializing Variable-sized Models
IJCAI 2024
Exploring Mathematical Extrapolation of Large Language Models with Synthetic Data
ACL 2024
Exploring Memorization in Fine-tuned Language Models
ACL 2024
Exploring Molecular Pretraining Model at Scale
NeurIPS 2024
Exploring Ordinality in Text Classification: A Comparative Study of Explicit and Implicit Techniques
ACL 2024
Exploring Pose-Aware Human-Object Interaction via Hybrid Learning
CVPR 2024
Exploring Question Guidance and Answer Calibration for Visually Grounded Video Question Answering
EMNLP 2024
Exploring Structured Semantic Priors Underlying Diffusion Score for Test-time Adaptation
NeurIPS 2024
Exploring the Capability of Multimodal LLMs with Yonkoma Manga: The YManga Dataset and Its Challenging Tasks
EMNLP 2024
Exploring the Compositional Deficiency of Large Language Models in Mathematical Reasoning Through Trap Problems
EMNLP 2024
Exploring the Edges of Latent State Clusters for Goal-Conditioned Reinforcement Learning
NeurIPS 2024
Exploring the limits of decoder-only models trained on public speech recognition corpora
Interspeech 2024
Exploring the Practicality of Generative Retrieval on Dynamic Corpora
EMNLP 2024
Exploring the Relationship between In-Context Learning and Instruction Tuning
EMNLP 2024
Exploring the Role of Reasoning Structures for Constructing Proofs in Multi-Step Natural Language Reasoning with Large Language Models
EMNLP 2024
Exploring Vision Transformers for 3D Human Motion-Language Models with Motion Patches
CVPR 2024
Exponential Quantum Communication Advantage in Distributed Inference and Learning
NeurIPS 2024
Exposing the Deception: Uncovering More Forgery Clues for Deepfake Detection
AAAI 2024
Expressive Losses for Verified Robustness via Convex Combinations
ICLR 2024
Expressive Multi-Agent Communication via Identity-Aware Learning
AAAI 2024
Extending AZee with Non-manual Gesture Rules for French Sign Language
COLING 2024
Extending Multi-modal Contrastive Representations
NeurIPS 2024