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)
De-biased Attention Supervision for Text Classification with Causality
AAAI 2024
Debiased Collaborative Filtering with Kernel-Based Causal Balancing
ICLR 2024
Debiased Novel Category Discovering and Localization
AAAI 2024
Debiasing, Calibrating, and Improving Semi-Supervised Learning Performance via Simple Ensemble Projector
WACV 2024
Debiasing In-Context Learning by Instructing LLMs How to Follow Demonstrations
ACL 2024
Debiasing Multimodal Sarcasm Detection with Contrastive Learning
AAAI 2024
Debiasing Synthetic Data Generated by Deep Generative Models
NeurIPS 2024
Debiasing Text Safety Classifiers through a Fairness-Aware Ensemble
EMNLP 2024
DebugBench: Evaluating Debugging Capability of Large Language Models
ACL 2024
Decentralized Natural Policy Gradient with Variance Reduction for Collaborative Multi-Agent Reinforcement Learning
JMLR 2024
Decentralized Online Learning in General-Sum Stackelberg Games
UAI 2024
Decentralized Scheduling with QoS Constraints: Achieving O(1) QoS Regret of Multi-Player Bandits
AAAI 2024
Decentralized Two-Sided Bandit Learning in Matching Market
UAI 2024
Deceptive Fairness Attacks on Graphs via Meta Learning
ICLR 2024
Deciphering Assamese Vowel Harmony with Featural InfoWaveGAN
Interspeech 2024
Deciphering Compatibility Relationships with Textual Descriptions via Extraction and Explanation
AAAI 2024
Deciphering Digital Detectives: Understanding LLM Behaviors and Capabilities in Multi-Agent Mystery Games
ACL 2024
Deciphering Political Entity Sentiment in News with Large Language Models: Zero-Shot and Few-Shot Strategies
COLING 2024
Deciphering Raw Data in Neuro-Symbolic Learning with Provable Guarantees
AAAI 2024
Deciphering Rumors: A Multi-Task Learning Approach with Intent-aware Hierarchical Contrastive Learning
EMNLP 2024
Deciphering the Impact of Pretraining Data on Large Language Models through Machine Unlearning
ACL 2024
Deciphering the Projection Head: Representation Evaluation Self-supervised Learning
IJCAI 2024
Decision-Making for Land Conservation: A Derivative-Free Optimization Framework with Nonlinear Inputs
AAAI 2024
Decision Mamba: A Multi-Grained State Space Model with Self-Evolution Regularization for Offline RL
NeurIPS 2024
Decision Mamba: Reinforcement Learning via Hybrid Selective Sequence Modeling
NeurIPS 2024