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
'5
'10
'15
'20
'25
Papers (including subtopics)
BadChain: Backdoor Chain-of-Thought Prompting for Large Language Models
ICLR 2024
BadCLIP: Dual-Embedding Guided Backdoor Attack on Multimodal Contrastive Learning
CVPR 2024
BadCLIP: Trigger-Aware Prompt Learning for Backdoor Attacks on CLIP
CVPR 2024
BadFair: Backdoored Fairness Attacks with Group-conditioned Triggers
EMNLP 2024
BADFSS: Backdoor Attacks on Federated Self-Supervised Learning
IJCAI 2024
BadFusion: 2D-Oriented Backdoor Attacks against 3D Object Detection
IJCAI 2024
BadRL: Sparse Targeted Backdoor Attack against Reinforcement Learning
AAAI 2024
BAGEL: Bootstrapping Agents by Guiding Exploration with Language
ICML 2024
Bag of Tricks: Benchmarking of Jailbreak Attacks on LLMs
NeurIPS 2024
BaitAttack: Alleviating Intention Shift in Jailbreak Attacks via Adaptive Bait Crafting
EMNLP 2024
BAIT: Benchmarking (Embedding) Architectures for Interactive Theorem-Proving
AAAI 2024
Balanced-Wav2Vec: Enhancing Stability and Robustness of Representation Learning Through Sample Reweighting Techniques
Interspeech 2024
Balance, Multiple Augmentation, and Re-synthesis: A Triad Training Strategy for Enhanced Audio Deepfake Detection
Interspeech 2024
Balancing Speciality and Versatility: a Coarse to Fine Framework for Supervised Fine-tuning Large Language Model
ACL 2024
BAMBINO-LM: (Bilingual-)Human-Inspired Continual Pre-training of BabyLM
ACL 2024
BAN: Detecting Backdoors Activated by Adversarial Neuron Noise
NeurIPS 2024
BanditQ:Fair Bandits with Guaranteed Rewards
UAI 2024
Bandits Meet Mechanism Design to Combat Clickbait in Online Recommendation
ICLR 2024
Bandits with Concave Aggregated Reward
IJCAI 2024
Bandits with Knapsacks and Predictions
UAI 2024
Bandits with Preference Feedback: A Stackelberg Game Perspective
NeurIPS 2024
Bandits with Ranking Feedback
NeurIPS 2024
Bandits with Replenishable Knapsacks: the Best of both Worlds
ICLR 2024
BAPO: Base-Anchored Preference Optimization for Overcoming Forgetting in Large Language Models Personalization
EMNLP 2024
Barely Random Algorithms and Collective Metrical Task Systems
NeurIPS 2024