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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)

Domain Adaptation with Joint Loss for Consistent Regression and Ordinal Classification in the Proxy Means Test for Poverty Targeting IJCAI 2024 Domain adapted machine translation: What does catastrophic forgetting forget and why? EMNLP 2024 Domain Adaptive 3D Shape Retrieval From Monocular Images WACV 2024 Domain Adaptive and Fine-grained Anomaly Detection for Single-cell Sequencing Data and Beyond IJCAI 2024 Domain-Agnostic Molecular Generation with Chemical Feedback ICLR 2024 Domain Aligned CLIP for Few-Shot Classification WACV 2024 Domain-aware and Co-adaptive Feature Transformation for Domain Adaption Few-shot Relation Extraction COLING 2024 Domain-Aware Fine-Tuning: Enhancing Neural Network Adaptability AAAI 2024 DomainGallery: Few-shot Domain-driven Image Generation by Attribute-centric Finetuning NeurIPS 2024 Domain Generalization via Causal Adjustment for Cross-Domain Sentiment Analysis COLING 2024 Domain-Hierarchy Adaptation via Chain of Iterative Reasoning for Few-shot Hierarchical Text Classification IJCAI 2024 Domain Invariant Learning for Gaussian Processes and Bayesian Exploration AAAI 2024 DomainInv: Domain Invariant Fine Tuning and Adversarial Label Correction For Unsupervised QA Domain Adaptation ACL 2024 Domain Prompt Learning with Quaternion Networks CVPR 2024 Domain-Rectifying Adapter for Cross-Domain Few-Shot Segmentation CVPR 2024 Domain-Specific Block Selection and Paired-View Pseudo-Labeling for Online Test-Time Adaptation CVPR 2024 Donkii: Characterizing and Detecting Errors in Instruction-Tuning Datasets EACL 2024 Don’t Augment, Rewrite? Assessing Abusive Language Detection with Synthetic Data ACL 2024 Don’t be a Fool: Pooling Strategies in Offensive Language Detection from User-Intended Adversarial Attacks NAACL 2024 Don’t Be Pessimistic Too Early: Look K Steps Ahead! AISTATS 2024 Don’t Blame the Data, Blame the Model: Understanding Noise and Bias When Learning from Subjective Annotations EACL 2024 Don’t Buy it! Reassessing the Ad Understanding Abilities of Contrastive Multimodal Models ACL 2024 Don't Drop Your Samples! Coherence-Aware Training Benefits Conditional Diffusion CVPR 2024 Don’t forget private retrieval: distributed private similarity search for large language models ACL 2024 Don’t Forget Your Reward Values: Language Model Alignment via Value-based Calibration EMNLP 2024