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)
Provably and Practically Efficient Adversarial Imitation Learning with General Function Approximation
NeurIPS 2024
Provably Efficient Interactive-Grounded Learning with Personalized Reward
NeurIPS 2024
Provably Efficient Iterated CVaR Reinforcement Learning with Function Approximation and Human Feedback
ICLR 2024
Provably Efficient Reinforcement Learning with Multinomial Logit Function Approximation
NeurIPS 2024
Provably Efficient UCB-type Algorithms For Learning Predictive State Representations
ICLR 2024
Provably Mitigating Overoptimization in RLHF: Your SFT Loss is Implicitly an Adversarial Regularizer
NeurIPS 2024
Provably Transformers Harness Multi-Concept Word Semantics for Efficient In-Context Learning
NeurIPS 2024
Provenance: A Light-weight Fact-checker for Retrieval Augmented LLM Generation Output
EMNLP 2024
Prove Your Point!: Bringing Proof-Enhancement Principles to Argumentative Essay Generation
EMNLP 2024
Proving Olympiad Algebraic Inequalities without Human Demonstrations
NeurIPS 2024
PRP-Graph: Pairwise Ranking Prompting to LLMs with Graph Aggregation for Effective Text Re-ranking
ACL 2024
PRP: Propagating Universal Perturbations to Attack Large Language Model Guard-Rails
ACL 2024
PRVAE-VC2: Non-Parallel Voice Conversion by Distillation of Speech Representations
Interspeech 2024
PSC-CPI: Multi-Scale Protein Sequence-Structure Contrasting for Efficient and Generalizable Compound-Protein Interaction Prediction
AAAI 2024
PSDPM: Prototype-based Secondary Discriminative Pixels Mining for Weakly Supervised Semantic Segmentation
CVPR 2024
Pseudo-Label Calibration Semi-supervised Multi-Modal Entity Alignment
AAAI 2024
Pseudo-Label Enhanced Prototypical Contrastive Learning for Uniformed Intent Discovery
EMNLP 2024
Pseudo Label Refinery for Unsupervised Domain Adaptation on Cross-dataset 3D Object Detection
CVPR 2024
Pseudo-Private Data Guided Model Inversion Attacks
NeurIPS 2024
Pseudo-Siamese Blind-spot Transformers for Self-Supervised Real-World Denoising
NeurIPS 2024
PsFuture: A Pseudo-Future-based Zero-Shot Adaptive Policy for Simultaneous Machine Translation
EMNLP 2024
pSTarC: Pseudo Source Guided Target Clustering for Fully Test-Time Adaptation
WACV 2024
Psychological Assessments with Large Language Models: A Privacy-Focused and Cost-Effective Approach
EACL 2024
Psychometry: An Omnifit Model for Image Reconstruction from Human Brain Activity
CVPR 2024
PsySafe: A Comprehensive Framework for Psychological-based Attack, Defense, and Evaluation of Multi-agent System Safety
ACL 2024