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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)

Detecting Foodborne Illness Complaints in Multiple Languages Using English Annotations Only EMNLP 2020 Detecting Human-Object Interactions via Functional Generalization AAAI 2020 Detecting Objectifying Language in Online Professor Reviews EMNLP 2020 Detecting Out-of-Distribution Examples with Gram Matrices ICML 2020 Detecting Perceived Emotions in Hurricane Disasters ACL 2020 Detecting Semantic Anomalies AAAI 2020 Detecting the Starting Frame of Actions in Video WACV 2020 Detecting Urgency Status of Crisis Tweets: A Transfer Learning Approach for Low Resource Languages COLING 2020 Detecting Word Sense Disambiguation Biases in Machine Translation for Model-Agnostic Adversarial Attacks EMNLP 2020 Detection as Regression: Certified Object Detection with Median Smoothing NeurIPS 2020 Detection of Mental Health from Reddit via Deep Contextualized Representations EMNLP 2020 Determining Question-Answer Plausibility in Crowdsourced Datasets Using Multi-Task Learning EMNLP 2020 Determining the Possibility of Transfer Learning in Deep Reinforcement Learning Using Grad-CAM (Student Abstract) AAAI 2020 Deterministic Decoding for Discrete Data in Variational Autoencoders AISTATS 2020 Deterministic Value-Policy Gradients AAAI 2020 Developing a Curated Topic Model for COVID-19 Medical Research Literature EMNLP 2020 Developing a Machine Learning Tool for Dynamic Cancer Treatment Strategies AAAI 2020 Development of a Speech Quality Database Under Uncontrolled Conditions Interspeech 2020 Development of Multi-level Linguistic Alignment in Child-adult Conversations EMNLP 2020 Development of Multilingual ASR Using GlobalPhone for Less-Resourced Languages: The Case of Ethiopian Languages Interspeech 2020 DGGAN: Depth-image Guided Generative Adversarial Networks for Disentangling RGB and Depth Images in 3D Hand Pose Estimation WACV 2020 Dialect Identification under Domain Shift: Experiments with Discriminating Romanian and Moldavian COLING 2020 Dialog State Tracking with Reinforced Data Augmentation AAAI 2020 Dialogue Coherence Assessment Without Explicit Dialogue Act Labels ACL 2020 Dialogue Response Ranking Training with Large-Scale Human Feedback Data EMNLP 2020