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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)

Pushing on Text Readability Assessment: A Transformer Meets Handcrafted Linguistic Features EMNLP 2021 Pushing the Right Buttons: Adversarial Evaluation of Quality Estimation EMNLP 2021 Putting NeRF on a Diet: Semantically Consistent Few-Shot View Synthesis ICCV 2021 Putting the “Learning" into Learning-Augmented Algorithms for Frequency Estimation ICML 2021 QActor: Active Learning on Noisy Labels ACML 2021 QADI: Arabic Dialect Identification in the Wild EACL 2021 QA-Driven Zero-shot Slot Filling with Weak Supervision Pretraining ACL 2021 QAIR: Practical Query-Efficient Black-Box Attacks for Image Retrieval CVPR 2021 QEMind: Alibaba’s Submission to the WMT21 Quality Estimation Shared Task EMNLP 2021 Q-learning with Logarithmic Regret AISTATS 2021 QuadroNet: Multi-Task Learning for Real-Time Semantic Depth Aware Instance Segmentation WACV 2021 Quality Estimation Using Dual Encoders with Transfer Learning EMNLP 2021 Quality Estimation without Human-labeled Data EACL 2021 Quantifying and Reducing Bias in Maximum Likelihood Estimation of Structured Anomalies ICML 2021 Quantifying Appropriateness of Summarization Data for Curriculum Learning EACL 2021 Quantifying Differences in Reward Functions ICLR 2021 Quantile Bandits for Best Arms Identification ICML 2021 Qu-ANTI-zation: Exploiting Quantization Artifacts for Achieving Adversarial Outcomes NeurIPS 2021 Quasi-Dense Similarity Learning for Multiple Object Tracking CVPR 2021 Query Complexity of Adversarial Attacks ICML 2021 Query complexity of least absolute deviation regression via robust uniform convergence COLT 2021 Query-Memory Re-Aggregation for Weakly-supervised Video Object Segmentation AAAI 2021 Question and Answer Test-Train Overlap in Open-Domain Question Answering Datasets EACL 2021 Question Answering over Electronic Devices: A New Benchmark Dataset and a Multi-Task Learning based QA Framework EMNLP 2021 Queue-Learning: A Reinforcement Learning Approach for Providing Quality of Service AAAI 2021