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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)

Group Fairness in Predict-Then-Optimize Settings for Restless Bandits UAI 2024 Group Preference Optimization: Few-Shot Alignment of Large Language Models ICLR 2024 Group Robust Preference Optimization in Reward-free RLHF NeurIPS 2024 Group-Wise Contrastive Bottleneck for Weakly-Supervised Visual Representation Learning WACV 2024 Group-wise oracle-efficient algorithms for online multi-group learning NeurIPS 2024 Groupwise Query Specialization and Quality-Aware Multi-Assignment for Transformer-based Visual Relationship Detection CVPR 2024 GS2P: A Generative Pre-trained Learning to Rank Model with Over-parameterization for Web-Scale Search (Extended Abstract) IJCAI 2024 GSGAN: Adversarial Learning for Hierarchical Generation of 3D Gaussian Splats NeurIPS 2024 GSM-Plus: A Comprehensive Benchmark for Evaluating the Robustness of LLMs as Mathematical Problem Solvers ACL 2024 GTA: Generative Trajectory Augmentation with Guidance for Offline Reinforcement Learning NeurIPS 2024 GTNC: A Many-To-One Dataset of Google Translations from NewsCrawl EACL 2024 GTP-ViT: Efficient Vision Transformers via Graph-Based Token Propagation WACV 2024 GTSinger: A Global Multi-Technique Singing Corpus with Realistic Music Scores for All Singing Tasks NeurIPS 2024 Guaranteeing Robustness Against Real-World Perturbations In Time Series Classification Using Conformalized Randomized Smoothing UAI 2024 Guardians of the Machine Translation Meta-Evaluation: Sentinel Metrics Fall In! ACL 2024 GuardT2I: Defending Text-to-Image Models from Adversarial Prompts NeurIPS 2024 Guided Cluster Aggregation: A Hierarchical Approach to Generalized Category Discovery WACV 2024 Guided Distant Supervision for Multilingual Relation Extraction Data: Adapting to a New Language COLING 2024 Guided Distillation for Semi-Supervised Instance Segmentation WACV 2024 Guided Slot Attention for Unsupervised Video Object Segmentation CVPR 2024 Guided Trajectory Generation with Diffusion Models for Offline Model-based Optimization NeurIPS 2024 Guiding Large Language Models to Post-Edit Machine Translation with Error Annotations NAACL 2024 Guiding Large Language Models via External Attention Prompting for Scientific Extreme Summarization ACL 2024 Guiding Sentiment Analysis with Hierarchical Text Clustering: Analyzing the German X/Twitter Discourse on Face Masks in the 2020 COVID-19 Pandemic ACL 2024 GunStance: Stance Detection for Gun Control and Gun Regulation ACL 2024