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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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Papers (including subtopics)

Robust Small Object Detection on the Water Surface Through Fusion of Camera and Millimeter Wave Radar ICCV 2021 Robust Spatio-Temporal Purchase Prediction via Deep Meta Learning AAAI 2021 Robust Trust Region for Weakly Supervised Segmentation ICCV 2021 Robust Unsupervised Learning via L-statistic Minimization ICML 2021 Robust wav2vec 2.0: Analyzing Domain Shift in Self-Supervised Pre-Training Interspeech 2021 RockNER: A Simple Method to Create Adversarial Examples for Evaluating the Robustness of Named Entity Recognition Models EMNLP 2021 Role of Optimizer on Network Fine-tuning for Adversarial Robustness (Student Abstract) AAAI 2021 RollingLDA: An Update Algorithm of Latent Dirichlet Allocation to Construct Consistent Time Series from Textual Data EMNLP 2021 RoMA: Robust Model Adaptation for Offline Model-based Optimization NeurIPS 2021 Row-clustering of a Point Process-valued Matrix NeurIPS 2021 RSG: A Simple but Effective Module for Learning Imbalanced Datasets CVPR 2021 RSPNet: Relative Speed Perception for Unsupervised Video Representation Learning AAAI 2021 RTM Super Learner Results at Quality Estimation Task EMNLP 2021 RuleBERT: Teaching Soft Rules to Pre-Trained Language Models EMNLP 2021 Russian Paraphrasers: Paraphrase with Transformers EACL 2021 S2-BNN: Bridging the Gap Between Self-Supervised Real and 1-Bit Neural Networks via Guided Distribution Calibration CVPR 2021 S2R-DepthNet: Learning a Generalizable Depth-Specific Structural Representation CVPR 2021 S2VC: A Framework for Any-to-Any Voice Conversion with Self-Supervised Pretrained Representations Interspeech 2021 S3VAADA: Submodular Subset Selection for Virtual Adversarial Active Domain Adaptation ICCV 2021 S4RL: Surprisingly Simple Self-Supervision for Offline Reinforcement Learning in Robotics CoRL 2021 SaccadeCam: Adaptive Visual Attention for Monocular Depth Sensing ICCV 2021 Safe Local Motion Planning With Self-Supervised Freespace Forecasting CVPR 2021 Safe Reinforcement Learning Using Advantage-Based Intervention ICML 2021 Safe Reinforcement Learning via Statistical Model Predictive Shielding RSS 2021 Safe Reinforcement Learning with Linear Function Approximation ICML 2021