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Learning Types

56,253 papers (3 classified directly here)

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)
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Papers (including subtopics)

Anlirika: An LSTM–CNN Flow Twister for Spoken Language Identification NAACL 2021 Annotation Confidence vs. Training Sample Size: Trade-Off Solution for Partially-Continuous Categorical Emotion Recognition Interspeech 2021 Annotations Matter: Leveraging Multi-task Learning to Parse UD and SUD ACL 2021 ANOCE: Analysis of Causal Effects with Multiple Mediators via Constrained Structural Learning ICLR 2021 Anomaly Detection in Video via Self-Supervised and Multi-Task Learning CVPR 2021 An online passive-aggressive algorithm for difference-of-squares classification NeurIPS 2021 An Online Sequential Test for Qualitative Treatment Effects JMLR 2021 A nonparametric method for gradual change problems with statistical guarantees NeurIPS 2021 A Novel AI-based Methodology for Identifying Cyber Attacks in Honey Pots AAAI 2021 A Novel Estimator of Mutual Information for Learning to Disentangle Textual Representations ACL 2021 A Novel Framework for Detecting Important Subevents from Crisis Events via Dynamic Semantic Graphs EMNLP 2021 A Novel Method to Solve Neural Knapsack Problems ICML 2021 A Novel Sequential Coreset Method for Gradient Descent Algorithms ICML 2021 A Novel Wikipedia based Dataset for Monolingual and Cross-Lingual Summarization EMNLP 2021 A Novice-Reviewer Experiment to Address Scarcity of Qualified Reviewers in Large Conferences AAAI 2021 Anti-Adversarially Manipulated Attributions for Weakly and Semi-Supervised Semantic Segmentation CVPR 2021 Anti-Aliasing Semantic Reconstruction for Few-Shot Semantic Segmentation CVPR 2021 Anti-Backdoor Learning: Training Clean Models on Poisoned Data NeurIPS 2021 An Uncertainty-Aware Encoder for Aspect Detection EMNLP 2021 An Unsupervised Deep Learning Approach for Real-World Image Denoising ICLR 2021 An unsupervised framework for tracing textual sources of moral change EMNLP 2021 An Unsupervised Method for Building Sentence Simplification Corpora in Multiple Languages EMNLP 2021 An Unsupervised Sampling Approach for Image-Sentence Matching Using Document-level Structural Information AAAI 2021 An unsupervised video game playstyle metric via state discretization UAI 2021 A One-Size-Fits-All Solution to Conservative Bandit Problems AAAI 2021