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)
CADet: Fully Self-Supervised Out-Of-Distribution Detection With Contrastive Learning
NeurIPS 2023
CafeBoost: Causal Feature Boost To Eliminate Task-Induced Bias for Class Incremental Learning
CVPR 2023
Calibrated Seq2seq Models for Efficient and Generalizable Ultra-fine Entity Typing
EMNLP 2023
Calibrated Stackelberg Games: Learning Optimal Commitments Against Calibrated Agents
NeurIPS 2023
Calibrated Teacher for Sparsely Annotated Object Detection
AAAI 2023
Calibrating a Deep Neural Network with Its Predecessors
IJCAI 2023
Calibrating Multimodal Learning
ICML 2023
Calibrating Uncertainty for Semi-Supervised Crowd Counting
ICCV 2023
Calibration by Distribution Matching: Trainable Kernel Calibration Metrics
NeurIPS 2023
CALIP: Zero-Shot Enhancement of CLIP with Parameter-Free Attention
AAAI 2023
Calvados at MEDIQA-Chat 2023: Improving Clinical Note Generation with Multi-Task Instruction Finetuning
ACL 2023
CAME: Contrastive Automated Model Evaluation
ICCV 2023
Camera Alignment and Weighted Contrastive Learning for Domain Adaptation in Video Person ReID
WACV 2023
Camera-Driven Representation Learning for Unsupervised Domain Adaptive Person Re-identification
ICCV 2023
CameraPose: Weakly-Supervised Monocular 3D Human Pose Estimation by Leveraging In-the-Wild 2D Annotations
WACV 2023
CamoPatch: An Evolutionary Strategy for Generating Camoflauged Adversarial Patches
NeurIPS 2023
Can Active Sampling Reduce Causal Confusion in Offline Reinforcement Learning?
CLeaR 2023
Canary in a Coalmine: Better Membership Inference with Ensembled Adversarial Queries
ICLR 2023
Can Bad Teaching Induce Forgetting? Unlearning in Deep Networks Using an Incompetent Teacher
AAAI 2023
Can ChatGPT Defend its Belief in Truth? Evaluating LLM Reasoning via Debate
EMNLP 2023
Can ChatGPT Perform Reasoning Using the IRAC Method in Analyzing Legal Scenarios Like a Lawyer?
EMNLP 2023
Can ChatGPT Understand Causal Language in Science Claims?
ACL 2023
Can Cross-Lingual Transferability of Multilingual Transformers Be Activated Without End-Task Data?
ACL 2023
Candidate-aware Selective Disambiguation Based On Normalized Entropy for Instance-dependent Partial-label Learning
ICCV 2023
CANIFE: Crafting Canaries for Empirical Privacy Measurement in Federated Learning
ICLR 2023