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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)

Calibration and Consistency of Adversarial Surrogate Losses NeurIPS 2021 Cambridge at SemEval-2021 Task 1: An Ensemble of Feature-Based and Neural Models for Lexical Complexity Prediction SemEval 2021 Camera-Aware Proxies for Unsupervised Person Re-Identification AAAI 2021 CAM-GAN: Continual Adaptation Modules for Generative Adversarial Networks NeurIPS 2021 Can Audio-Visual Integration Strengthen Robustness Under Multimodal Attacks? CVPR 2021 Cancellation of Local Competing Speaker with Near-Field Localization for Distributed ad-hoc Sensor Network Interspeech 2021 Can Character-based Language Models Improve Downstream Task Performances In Low-Resource And Noisy Language Scenarios? EMNLP 2021 Can contrastive learning avoid shortcut solutions? NeurIPS 2021 Canonical Capsules: Self-Supervised Capsules in Canonical Pose NeurIPS 2021 CanonPose: Self-Supervised Monocular 3D Human Pose Estimation in the Wild CVPR 2021 Can Question Generation Debias Question Answering Models? A Case Study on Question–Context Lexical Overlap EMNLP 2021 Can Scale-Consistent Monocular Depth Be Learned in a Self-Supervised Scale-Invariant Manner? ICCV 2021 Can Transformer Language Models Predict Psychometric Properties? ACL 2021 Can Transformers Jump Around Right in Natural Language? Assessing Performance Transfer from SCAN EMNLP 2021 CanvasVAE: Learning To Generate Vector Graphic Documents ICCV 2021 Can vectors read minds better than experts? Comparing data augmentation strategies for the automated scoring of children’s mindreading ability ACL 2021 Can we have it all? On the Trade-off between Spatial and Adversarial Robustness of Neural Networks NeurIPS 2021 Capturing document context inside sentence-level neural machine translation models with self-training EMNLP 2021 Capturing implicit hierarchical structure in 3D biomedical images with self-supervised hyperbolic representations NeurIPS 2021 Capturing Speaker Incorrectness: Speaker-Focused Post-Correction for Abstractive Dialogue Summarization EMNLP 2021 Capturing Uncertainty in Unsupervised GPS Trajectory Segmentation Using Bayesian Deep Learning AAAI 2021 CARMS: Categorical-Antithetic-REINFORCE Multi-Sample Gradient Estimator NeurIPS 2021 CARTL: Cooperative Adversarially-Robust Transfer Learning ICML 2021 Cartography Active Learning EMNLP 2021 Cascaded Multilingual Audio-Visual Learning from Videos Interspeech 2021