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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)

Additive Decoders for Latent Variables Identification and Cartesian-Product Extrapolation NeurIPS 2023 Addressing Cold Start Problem for End-to-end Automatic Speech Scoring Interspeech 2023 Addressing Negative Transfer in Diffusion Models NeurIPS 2023 Addressing NER Annotation Noises with Uncertainty-Guided Tree-Structured CRFs EMNLP 2023 Addressing Parameter Choice Issues in Unsupervised Domain Adaptation by Aggregation ICLR 2023 Addressing the Length Bias Challenge in Document-Level Neural Machine Translation EMNLP 2023 Addressing Weak Decision Boundaries in Image Classification by Leveraging Web Search and Generative Models IJCAI 2023 A Deeper (Autoregressive) Approach to Non-Convergent Discourse Parsing EMNLP 2023 A Deep Instance Generative Framework for MILP Solvers Under Limited Data Availability NeurIPS 2023 A Definition of Continual Reinforcement Learning NeurIPS 2023 ADEPT: A DEbiasing PrompT Framework AAAI 2023 A Diachronic Analysis of Paradigm Shifts in NLP Research: When, How, and Why? EMNLP 2023 A Diffusion Model with Contrastive Learning for ICU False Arrhythmia Alarm Reduction IJCAI 2023 A Diffusion Weighted Graph Framework for New Intent Discovery EMNLP 2023 Adjustment and Alignment for Unbiased Open Set Domain Adaptation CVPR 2023 ADMoE: Anomaly Detection with Mixture-of-Experts from Noisy Labels AAAI 2023 AD-NLP: A Benchmark for Anomaly Detection in Natural Language Processing EMNLP 2023 AD-TUNING: An Adaptive CHILD-TUNING Approach to Efficient Hyperparameter Optimization of Child Networks for Speech Processing Tasks in the SUPERB Benchmark Interspeech 2023 A Dual Attention-based Modality-Collaborative Fusion Network for Emotion Recognition Interspeech 2023 Advances in AI for Safety, Equity, and Well-Being on Web and Social Media: Detection, Robustness, Attribution, and Mitigation AAAI 2023 Advances in Language Recognition in Low Resource African Languages: The JHU-MIT Submission for NIST LRE22 Interspeech 2023 Advancing Deep Metric Learning With Adversarial Robustness ACML 2023 Advancing Example Exploitation Can Alleviate Critical Challenges in Adversarial Training ICCV 2023 Advancing Radiograph Representation Learning with Masked Record Modeling ICLR 2023 AdvDiffuser: Natural Adversarial Example Synthesis with Diffusion Models ICCV 2023