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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)

Beyond Smoothing: Unsupervised Graph Representation Learning with Edge Heterophily Discriminating AAAI 2023 Beyond Testers’ Biases: Guiding Model Testing with Knowledge Bases using LLMs EMNLP 2023 Beyond Unimodal: Generalising Neural Processes for Multimodal Uncertainty Estimation NeurIPS 2023 bgGLUE: A Bulgarian General Language Understanding Evaluation Benchmark ACL 2023 Bhattacharya_Lab at SemEval-2023 Task 12: A Transformer-based Language Model for Sentiment Classification for Low Resource African Languages: Nigerian Pidgin and Yoruba SemEval 2023 Bi3D: Bi-Domain Active Learning for Cross-Domain 3D Object Detection CVPR 2023 BiasAdv: Bias-Adversarial Augmentation for Model Debiasing CVPR 2023 Biased Self-supervised Learning for ASR Interspeech 2023 Bias-Eliminating Augmentation Learning for Debiased Federated Learning CVPR 2023 Bias Mimicking: A Simple Sampling Approach for Bias Mitigation CVPR 2023 BiCro: Noisy Correspondence Rectification for Multi-Modality Data via Bi-Directional Cross-Modal Similarity Consistency CVPR 2023 Bidding Graph Games with Partially-Observable Budgets AAAI 2023 Bidirectional Adaptation for Robust Semi-Supervised Learning with Inconsistent Data Distributions ICML 2023 Bidirectional Alignment for Domain Adaptive Detection with Transformers ICCV 2023 Bidirectional Copy-Paste for Semi-Supervised Medical Image Segmentation CVPR 2023 Bidirectional Cross-Modal Knowledge Exploration for Video Recognition With Pre-Trained Vision-Language Models CVPR 2023 Bi-Directional Distribution Alignment for Transductive Zero-Shot Learning CVPR 2023 Bi-directional Feature Reconstruction Network for Fine-Grained Few-Shot Image Classification AAAI 2023 Bi-Directional Frame Interpolation for Unsupervised Video Anomaly Detection WACV 2023 Bi-Drop: Enhancing Fine-tuning Generalization via Synchronous sub-net Estimation and Optimization EMNLP 2023 Bigger, Better, Faster: Human-level Atari with human-level efficiency ICML 2023 BigVGAN: A Universal Neural Vocoder with Large-Scale Training ICLR 2023 BigVideo: A Large-scale Video Subtitle Translation Dataset for Multimodal Machine Translation ACL 2023 Bilateral Memory Consolidation for Continual Learning CVPR 2023 Bilevel Coreset Selection in Continual Learning: A New Formulation and Algorithm NeurIPS 2023