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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'10
'15
'20
'25
Papers (including subtopics)
A Virtual Driving Instructor That Generates Personalized Driving Lessons Based on Student Skill Level
AAAI 2024
A Vision Check-up for Language Models
CVPR 2024
A Weak Supervision Approach for Few-Shot Aspect Based Sentiment Analysis
EACL 2024
A White-Box False Positive Adversarial Attack Method on Contrastive Loss Based Offline Handwritten Signature Verification Models
AISTATS 2024
A Wolf in Sheep’s Clothing: Generalized Nested Jailbreak Prompts can Fool Large Language Models Easily
NAACL 2024
AWT: Transferring Vision-Language Models via Augmentation, Weighting, and Transportation
NeurIPS 2024
Axioms for AI Alignment from Human Feedback
NeurIPS 2024
Aya Model: An Instruction Finetuned Open-Access Multilingual Language Model
ACL 2024
Babel-ImageNet: Massively Multilingual Evaluation of Vision-and-Language Representations
ACL 2024
BabyHGRN: Exploring RNNs for Sample-Efficient Language Modeling
CoNLL 2024
Backdoor Adjustment via Group Adaptation for Debiased Coupon Recommendations
AAAI 2024
BackdoorAlign: Mitigating Fine-tuning based Jailbreak Attack with Backdoor Enhanced Safety Alignment
NeurIPS 2024
Backdoor Attacks via Machine Unlearning
AAAI 2024
Backdoor Contrastive Learning via Bi-level Trigger Optimization
ICLR 2024
Backdoor Defense via Test-Time Detecting and Repairing
CVPR 2024
Backdoor Federated Learning by Poisoning Backdoor-Critical Layers
ICLR 2024
Backdoor NLP Models via AI-Generated Text
COLING 2024
Backpropagation-free Network for 3D Test-time Adaptation
CVPR 2024
BackTime: Backdoor Attacks on Multivariate Time Series Forecasting
NeurIPS 2024
Back to 3D: Few-Shot 3D Keypoint Detection with Back-Projected 2D Features
CVPR 2024
Back to Optimization: Diffusion-Based Zero-Shot 3D Human Pose Estimation
WACV 2024
Back to School: Translation Using Grammar Books
EMNLP 2024
BaCon: Boosting Imbalanced Semi-supervised Learning via Balanced Feature-Level Contrastive Learning
AAAI 2024
BadAgent: Inserting and Activating Backdoor Attacks in LLM Agents
ACL 2024
BAdam: A Memory Efficient Full Parameter Optimization Method for Large Language Models
NeurIPS 2024