Learning Types
56,253 papers (3 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Self-Supervised Learning (8,965)
Adversarial Learning (5,204)
Unsupervised Learning (4,874)
Transfer Learning (4,808)
Weakly Supervised Learning (3,938)
Contrastive Learning (3,748)
Zero-Shot Learning (3,130)
Semi-Supervised Learning (3,128)
Reinforcement Learning (3,118)
Multi-Task Learning (2,556)
Evaluation (2,164)
Continual Learning (2,107)
Active Learning (1,983)
Few-Shot Learning (1,840)
Deep Learning (1,404)
Online Learning (1,360)
Multi-Armed Bandits (1,327)
Multimodal Learning (1,289)
Supervised Learning (986)
Multi-Agent Systems (813)
Uncertainty Quantification (805)
Causal Inference (636)
Robustness (576)
Retrieval-Augmented Generation (565)
Fine-Tuning (490)
Ensemble Learning (482)
In-Context Learning (439)
Multi-Label Classification (430)
Imitation Learning (387)
Prompt Engineering (270)
Multi-Lingual Learning (269)
Distribution Shift (264)
Reinforcement Learning from Human Feedback (209)
Regularization (207)
Exploration-Exploitation (203)
Generative Models (200)
Multi-Objective Optimization (185)
Out-of-Distribution Detection (176)
Sparse Learning (165)
Sampling (150)
Preference Learning (136)
Offline Reinforcement Learning (130)
Multi-Label Learning (128)
Markov Decision Process (127)
Neural Architecture Search (122)
Multi-Instance Learning (121)
Multi-View Learning (117)
Robust Learning (110)
Generative Model (110)
Time Series (108)
Large Language Models (104)
Exploration (103)
Hyperparameter Optimization (99)
Machine Unlearning (95)
Imbalanced Learning (93)
Machine Translation (93)
Multi-Class Classification (85)
Differential Privacy (82)
Time Series Analysis (71)
Reasoning (70)
Calibration (67)
Structure Learning (66)
Physics-Informed Learning (62)
Class Imbalance (58)
Model-Based RL (55)
Interactive Learning (55)
Multi-Domain Learning (47)
Inverse Reinforcement Learning (46)
Crowdsourcing (40)
Off-Policy Learning (38)
Label Noise (38)
Noisy Label Learning (35)
Offline RL (32)
Attention (32)
Evolutionary Algorithm (32)
Decision Making (31)
Policy Learning (30)
Personalization (28)
Low-Resource Learning (26)
Collaborative Filtering (25)
Self-Training (24)
Sequential Modeling (24)
Parameter Estimation (23)
Survival Analysis (21)
Machine Learning (20)
Parameter-Efficient Fine-Tuning (20)
Synthetic Data Generation (20)
Annotation (18)
Symbolic Regression (18)
AutoML (16)
Security (15)
Multi-Source Learning (13)
Distant Supervision (13)
Text Generation (11)
Distributional Reinforcement Learning (9)
Sentiment Analysis (9)
Multi-Hop Reasoning (9)
Language Modeling (9)
Code Generation (8)
Multi-Object Tracking (8)
Natural Language Inference (7)
Chain-of-Thought (6)
Question Answering (5)
Papers per year
1
8
12
26
18
20
135
136
147
149
220
231
316
526
460
477
660
1,314
2,083
3,689
4,652
5,914
6,826
8,201
8,755
9,258
2,019
2000
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'20
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Papers (including subtopics)
BiasWipe: Mitigating Unintended Bias in Text Classifiers through Model Interpretability
EMNLP 2024
BiCAL: Bi-directional Contrastive Active Learning for Clinical Report Generation
ACL 2024
Bidirectional Contrastive Split Learning for Visual Question Answering
AAAI 2024
Bidirectional Generative Pre-training for Improving Healthcare Time-series Representation Learning
MLHC 2024
Bidirectional Reciprocative Information Communication for Few-Shot Semantic Segmentation
ICML 2024
Bi-level Learning of Task-Specific Decoders for Joint Registration and One-Shot Medical Image Segmentation
CVPR 2024
Bilingual Rhetorical Structure Parsing with Large Parallel Annotations
ACL 2024
Binary Search with Distributional Predictions
NeurIPS 2024
Binding-Adaptive Diffusion Models for Structure-Based Drug Design
AAAI 2024
Binning as a Pretext Task: Improving Self-Supervised Learning in Tabular Domains
ICML 2024
Bio-inspired Dynamic and Decentralized Online Learning in Uninformed Heterogeneous Multi-Agent Environments
IJCAI 2024
Biologically Inspired Learning Model for Instructed Vision
NeurIPS 2024
Bio-RFX: Refining Biomedical Extraction via Advanced Relation Classification and Structural Constraints
EMNLP 2024
BIOSCAN-5M: A Multimodal Dataset for Insect Biodiversity
NeurIPS 2024
BioT5+: Towards Generalized Biological Understanding with IUPAC Integration and Multi-task Tuning
ACL 2024
BIPEFT: Budget-Guided Iterative Search for Parameter Efficient Fine-Tuning of Large Pretrained Language Models
EMNLP 2024
BirdSAT: Cross-View Contrastive Masked Autoencoders for Bird Species Classification and Mapping
WACV 2024
bit2bit: 1-bit quanta video reconstruction via self-supervised photon prediction
NeurIPS 2024
Bits and Pieces: Investigating the Effects of Subwords in Multi-task Parsing across Languages and Domains
COLING 2024
BiVLC: Extending Vision-Language Compositionality Evaluation with Text-to-Image Retrieval
NeurIPS 2024
Black-Box Forgetting
NeurIPS 2024
Black-Box k-to-1-PCA Reductions: Theory and Applications
COLT 2024
Black-Box Prompt Optimization: Aligning Large Language Models without Model Training
ACL 2024
BLEnD: A Benchmark for LLMs on Everyday Knowledge in Diverse Cultures and Languages
NeurIPS 2024
BlendFilter: Advancing Retrieval-Augmented Large Language Models via Query Generation Blending and Knowledge Filtering
EMNLP 2024