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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Papers (including subtopics)
Building a Strong Pre-Training Baseline for Universal 3D Large-Scale Perception
CVPR 2024
Building Higher-Order Abstractions from the Components of Recommender Systems
AAAI 2024
Building Question-Answer Data Using Web Register Identification
COLING 2024
Building Timeseries Dataset: Empowering Large-Scale Building Analytics
NeurIPS 2024
Building Vision-Language Models on Solid Foundations with Masked Distillation
CVPR 2024
BvSP: Broad-view Soft Prompting for Few-Shot Aspect Sentiment Quad Prediction
ACL 2024
Byzantine-Robust Federated Learning: Impact of Client Subsampling and Local Updates
ICML 2024
Byzantine Robustness and Partial Participation Can Be Achieved at Once: Just Clip Gradient Differences
NeurIPS 2024
C3L: Content Correlated Vision-Language Instruction Tuning Data Generation via Contrastive Learning
IJCAI 2024
C3Net: Compound Conditioned ControlNet for Multimodal Content Generation
CVPR 2024
C3PA: An Open Dataset of Expert-Annotated and Regulation-Aware Privacy Policies to Enable Scalable Regulatory Compliance Audits
EMNLP 2024
CABINET: Content Relevance-based Noise Reduction for Table Question Answering
ICLR 2024
CableInspect-AD: An Expert-Annotated Anomaly Detection Dataset
NeurIPS 2024
Cache & Distil: Optimising API Calls to Large Language Models
ACL 2024
CAD - Contextual Multi-Modal Alignment for Dynamic AVQA
WACV 2024
CAD: Photorealistic 3D Generation via Adversarial Distillation
CVPR 2024
CALANet: Cheap All-Layer Aggregation for Human Activity Recognition
NeurIPS 2024
Calc-CMU at SemEval-2024 Task 7: Pre-Calc - Learning to Use the Calculator Improves Numeracy in Language Models
SemEval 2024
Calibrated and Conformal Propensity Scores for Causal Effect Estimation
UAI 2024
Calibrated Self-Rewarding Vision Language Models
NeurIPS 2024
Calibrating Language Models with Adaptive Temperature Scaling
EMNLP 2024
Calibrating Long-form Generations From Large Language Models
EMNLP 2024
Calibrating Multi-modal Representations: A Pursuit of Group Robustness without Annotations
CVPR 2024
Calibrating the Confidence of Large Language Models by Eliciting Fidelity
EMNLP 2024
Calibration-Tuning: Teaching Large Language Models to Know What They Don’t Know
EACL 2024