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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)

Accelerating Self-Supervised Learning via Efficient Training Strategies WACV 2023 Accented Speech Recognition With Accent-specific Codebooks EMNLP 2023 Accessing Higher Dimensions for Unsupervised Word Translation NeurIPS 2023 Accommodating Audio Modality in CLIP for Multimodal Processing AAAI 2023 Accounting For Informative Sampling When Learning to Forecast Treatment Outcomes Over Time ICML 2023 Accuracy is not enough: Evaluating Personalization in Summarizers EMNLP 2023 Accurate and Reliable Confidence Estimation Based on Non-Autoregressive End-to-End Speech Recognition System Interspeech 2023 Accurate Training of Web-based Question Answering Systems with Feedback from Ranked Users ACL 2023 Achieving a Better Stability-Plasticity Trade-Off via Auxiliary Networks in Continual Learning CVPR 2023 Achieving Near-Optimal Individual Regret & Low Communications in Multi-Agent Bandits ICLR 2023 Achieving Zero Constraint Violation for Constrained Reinforcement Learning via Conservative Natural Policy Gradient Primal-Dual Algorithm AAAI 2023 A Class-Rebalancing Self-Training Framework for Distantly-Supervised Named Entity Recognition ACL 2023 ACL-Net: Semi-supervised Polyp Segmentation via Affinity Contrastive Learning AAAI 2023 A Closer Look at Self-Supervised Lightweight Vision Transformers ICML 2023 A Closer Look at the Robustness of Contrastive Language-Image Pre-Training (CLIP) NeurIPS 2023 A Closer Look into Using Large Language Models for Automatic Evaluation EMNLP 2023 ACL-SPC: Adaptive Closed-Loop System for Self-Supervised Point Cloud Completion CVPR 2023 A CMDP-within-online framework for Meta-Safe Reinforcement Learning ICLR 2023 A Compact End-to-End Model with Local and Global Context for Spoken Language Identification Interspeech 2023 A Comparative Analysis of the Effectiveness of Rare Tokens on Creative Expression using ramBERT ACL 2023 A Comparative Study of Prompting Strategies for Legal Text Classification EMNLP 2023 A Compare-and-contrast Multistage Pipeline for Uncovering Financial Signals in Financial Reports ACL 2023 A comparison of self-supervised pretraining approaches for predicting disease risk from chest radiograph images MIDL 2023 A Competitive Algorithm for Agnostic Active Learning NeurIPS 2023 A Complete Characterization of Linear Estimators for Offline Policy Evaluation JMLR 2023