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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

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220
477
4,652
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2000
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Papers (including subtopics)

Bridging the Gap between Relevance Matching and Semantic Matching for Short Text Similarity Modeling EMNLP 2019 Bridging Theory and Algorithm for Domain Adaptation ICML 2019 BubbleNets: Learning to Select the Guidance Frame in Video Object Segmentation by Deep Sorting Frames CVPR 2019 BubbleRank: Safe Online Learning to Re-Rank via Implicit Click Feedback UAI 2019 Budgeted Policy Learning for Task-Oriented Dialogue Systems ACL 2019 Budgeted Reinforcement Learning in Continuous State Space NeurIPS 2019 Building English-to-Serbian Machine Translation System for IMDb Movie Reviews ACL 2019 Building Trust in Deep Learning System towards Automated Disease Detection AAAI 2019 Build it Break it Fix it for Dialogue Safety: Robustness from Adversarial Human Attack EMNLP 2019 C2AE: Class Conditioned Auto-Encoder for Open-Set Recognition CVPR 2019 CAB: Continuous Adaptive Blending for Policy Evaluation and Learning ICML 2019 Calibrated Stochastic Gradient Descent for Convolutional Neural Networks AAAI 2019 Calibrating Deep Convolutional Gaussian Processes AISTATS 2019 CAMEL: A Weakly Supervised Learning Framework for Histopathology Image Segmentation ICCV 2019 CAMO: A Collaborative Ranking Method for Content Based Recommendation AAAI 2019 CAMOU: Learning Physical Vehicle Camouflages to Adversarially Attack Detectors in the Wild ICLR 2019 Can Adversarially Robust Learning LeverageComputational Hardness? ALT 2019 CANet: Class-Agnostic Segmentation Networks With Iterative Refinement and Attentive Few-Shot Learning CVPR 2019 Canonical Surface Mapping via Geometric Cycle Consistency ICCV 2019 Can You Trust This Prediction? Auditing Pointwise Reliability After Learning AISTATS 2019 Can you trust your model's uncertainty? Evaluating predictive uncertainty under dataset shift NeurIPS 2019 Cap2Det: Learning to Amplify Weak Caption Supervision for Object Detection ICCV 2019 Capacity Bounded Differential Privacy NeurIPS 2019 Capacity Control of ReLU Neural Networks by Basis-Path Norm AAAI 2019 CapsuleVOS: Semi-Supervised Video Object Segmentation Using Capsule Routing ICCV 2019