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)
BPO: Staying Close to the Behavior LLM Creates Better Online LLM Alignment
EMNLP 2024
Brain-JEPA: Brain Dynamics Foundation Model with Gradient Positioning and Spatiotemporal Masking
NeurIPS 2024
BrainStorm @ iREL at #SMM4H 2024: Leveraging Translation and Topical Embeddings for Annotation Detection in Tweets
ACL 2024
Breaking Language Barriers: Cross-Lingual Continual Pre-Training at Scale
EMNLP 2024
Breaking Semantic Artifacts for Generalized AI-generated Image Detection
NeurIPS 2024
Breaking the Hourglass Phenomenon of Residual Quantization: Enhancing the Upper Bound of Generative Retrieval
EMNLP 2024
Bridge the Points: Graph-based Few-shot Segment Anything Semantically
NeurIPS 2024
Bridging Gaps: Federated Multi-View Clustering in Heterogeneous Hybrid Views
NeurIPS 2024
Bridging Mini-Batch and Asymptotic Analysis in Contrastive Learning: From InfoNCE to Kernel-Based Losses
ICML 2024
Bridging Modalities: Enhancing Cross-Modality Hate Speech Detection with Few-Shot In-Context Learning
EMNLP 2024
Bridging the Gap: A Unified Video Comprehension Framework for Moment Retrieval and Highlight Detection
CVPR 2024
Bridging the Gap: Transfer Learning from English PLMs to Malaysian English
ACL 2024
Bridging the Semantic Latent Space between Brain and Machine: Similarity Is All You Need
AAAI 2024
Bridging the Synthetic-to-Authentic Gap: Distortion-Guided Unsupervised Domain Adaptation for Blind Image Quality Assessment
CVPR 2024
Brush Your Text: Synthesize Any Scene Text on Images via Diffusion Model
AAAI 2024
BSNet: Box-Supervised Simulation-assisted Mean Teacher for 3D Instance Segmentation
CVPR 2024
B-spine: Learning B-spline Curve Representation for Robust and Interpretable Spinal Curvature Estimation
AAAI 2024
BT-Adapter: Video Conversation is Feasible Without Video Instruction Tuning
CVPR 2024
BuckTales: A multi-UAV dataset for multi-object tracking and re-identification of wild antelopes
NeurIPS 2024
Building a Strong Pre-Training Baseline for Universal 3D Large-Scale Perception
CVPR 2024
Building Resources for Emakhuwa: Machine Translation and News Classification Benchmarks
EMNLP 2024
Building Variable-Sized Models via Learngene Pool
AAAI 2024
Building Vision-Language Models on Solid Foundations with Masked Distillation
CVPR 2024
BWS: Best Window Selection Based on Sample Scores for Data Pruning across Broad Ranges
ICML 2024
By My Eyes: Grounding Multimodal Large Language Models with Sensor Data via Visual Prompting
EMNLP 2024