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)
Benchmarking Generative Models on Computational Thinking Tests in Elementary Visual Programming
NeurIPS 2024
Benchmarking Implicit Neural Representation and Geometric Rendering in Real-Time RGB-D SLAM
CVPR 2024
Benchmarking Out-of-Distribution Generalization Capabilities of DNN-based Encoding Models for the Ventral Visual Cortex.
NeurIPS 2024
Benchmarking Retrieval-Augmented Generation for Medicine
ACL 2024
Benchmarking the Robustness of Temporal Action Detection Models Against Temporal Corruptions
CVPR 2024
Benchmarking Vision Language Models for Cultural Understanding
EMNLP 2024
Benchmarking Visually-Situated Translation of Text in Natural Images
EMNLP 2024
BendVLM: Test-Time Debiasing of Vision-Language Embeddings
NeurIPS 2024
BERGEN: A Benchmarking Library for Retrieval-Augmented Generation
EMNLP 2024
BERTground: A Transformer-Based Model of Background Spectra on the ISS-Based NICER Space Telescope
AAAI 2024
Best of Both Worlds: Learning Arbitrary-Scale Blind Super-Resolution via Dual Degradation Representations and Cycle-Consistency
WACV 2024
Better Alignment with Instruction Back-and-Forth Translation
EMNLP 2024
Better Call SAUL: Fluent and Consistent Language Model Editing with Generation Regularization
EMNLP 2024
Better Synthetic Data by Retrieving and Transforming Existing Datasets
ACL 2024
BEVSpread: Spread Voxel Pooling for Bird's-Eye-View Representation in Vision-based Roadside 3D Object Detection
CVPR 2024
Beyond Accuracy Optimization: Computer Vision Losses for Large Language Model Fine-Tuning
EMNLP 2024
Beyond Agreement: Diagnosing the Rationale Alignment of Automated Essay Scoring Methods based on Linguistically-informed Counterfactuals
EMNLP 2024
Beyond Average: Individualized Visual Scanpath Prediction
CVPR 2024
Beyond Dirichlet-based Models: When Bayesian Neural Networks Meet Evidential Deep Learning
UAI 2024
Beyond Embeddings: The Promise of Visual Table in Visual Reasoning
EMNLP 2024
Beyond Euclidean: Dual-Space Representation Learning for Weakly Supervised Video Violence Detection
NeurIPS 2024
Beyond Fine-tuning: Unleashing the Potential of Continuous Pretraining for Clinical LLMs.
EMNLP 2024
Beyond Fusion: Modality Hallucination-Based Multispectral Fusion for Pedestrian Detection
WACV 2024
Beyond Grounding: Extracting Fine-Grained Event Hierarchies across Modalities
AAAI 2024
Beyond Mimicking Under-Represented Emotions: Deep Data Augmentation with Emotional Subspace Constraints for EEG-Based Emotion Recognition
AAAI 2024