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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)

A Large-scale Study of Spatiotemporal Representation Learning with a New Benchmark on Action Recognition ICCV 2023 A Latent Space of Stochastic Diffusion Models for Zero-Shot Image Editing and Guidance ICCV 2023 A law of adversarial risk, interpolation, and label noise ICLR 2023 ALCAP: Alignment-Augmented Music Captioner EMNLP 2023 ALCUNA: Large Language Models Meet New Knowledge EMNLP 2023 A Learning Based Hypothesis Test for Harmful Covariate Shift ICLR 2023 Aleatoric and Epistemic Discrimination: Fundamental Limits of Fairness Interventions NeurIPS 2023 Alexa at SemEval-2023 Task 10: Ensemble Modeling of DeBERTa and BERT Variations for Identifying Sexist Text SemEval 2023 Alexander Knox at SemEval-2023 Task 5: The comparison of prompting and standard fine-tuning techniques for selecting the type of spoiler needed to neutralize a clickbait SemEval 2023 Alex-U 2023 NLP at WojoodNER shared task: AraBINDER (Bi-encoder for Arabic Named Entity Recognition) EMNLP 2023 Alfred: A System for Prompted Weak Supervision ACL 2023 AlGhafa Evaluation Benchmark for Arabic Language Models EMNLP 2023 Algorithmically Effective Differentially Private Synthetic Data COLT 2023 Algorithmic Aspects of the Log-Laplace Transform and a Non-Euclidean Proximal Sampler COLT 2023 Algorithm Selection for Deep Active Learning with Imbalanced Datasets NeurIPS 2023 AlignDet: Aligning Pre-training and Fine-tuning in Object Detection ICCV 2023 Aligned Diffusion Schrödinger Bridges UAI 2023 Aligning Factual Consistency for Clinical Studies Summarization through Reinforcement Learning ACL 2023 Aligning Instruction Tasks Unlocks Large Language Models as Zero-Shot Relation Extractors ACL 2023 Aligning Language Models to User Opinions EMNLP 2023 Aligning Language Models with Human Preferences via a Bayesian Approach NeurIPS 2023 Aligning Language Models with Preferences through f-divergence Minimization ICML 2023 Aligning Offline Metrics and Human Judgments of Value for Code Generation Models ACL 2023 Aligning Predictive Uncertainty with Clarification Questions in Grounded Dialog EMNLP 2023 Aligning Speech Enhancement for Improving Downstream Classification Performance Interspeech 2023