Skip to content
conftrace_

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)
1
20
220
477
4,652
9,258
2000
'5
'10
'15
'20
'25

Papers (including subtopics)

Data Advisor: Dynamic Data Curation for Safety Alignment of Large Language Models EMNLP 2024 Data Anonymization for Privacy-Preserving Large Language Model Fine-Tuning on Call Transcripts EACL 2024 Data Attribution for Text-to-Image Models by Unlearning Synthesized Images NeurIPS 2024 Data-Augmentation-Based Dialectal Adaptation for LLMs NAACL 2024 Data Augmentation for Speech-Based Diacritic Restoration ACL 2024 Data Augmentation with Diffusion for Open-Set Semi-Supervised Learning NeurIPS 2024 Data-Augmented Curriculum Graph Neural Architecture Search under Distribution Shifts AAAI 2024 Data Augmented Graph Neural Networks for Personality Detection AAAI 2024 Data-Centric Debugging: Mitigating Model Failures via Targeted Image Retrieval WACV 2024 Data Contamination Calibration for Black-box LLMs ACL 2024 Data Contamination Can Cross Language Barriers EMNLP 2024 DATA-CUBE: Data Curriculum for Instruction-based Sentence Representation Learning ACL 2024 Data, Data Everywhere: A Guide for Pretraining Dataset Construction EMNLP 2024 Data Diversity Matters for Robust Instruction Tuning EMNLP 2024 DataDreamer: A Tool for Synthetic Data Generation and Reproducible LLM Workflows ACL 2024 Data-Driven Discovery of Design Specifications (Student Abstract) AAAI 2024 Data-Driven Knowledge-Aware Inference of Private Information in Continuous Double Auctions AAAI 2024 Data-Efficient Contrastive Language-Image Pretraining: Prioritizing Data Quality over Quantity AISTATS 2024 Data-Efficient Graph Learning AAAI 2024 Data-Efficient Multimodal Fusion on a Single GPU CVPR 2024 Data-Efficient Operator Learning via Unsupervised Pretraining and In-Context Learning NeurIPS 2024 Data-faithful Feature Attribution: Mitigating Unobservable Confounders via Instrumental Variables NeurIPS 2024 Dataflow-Guided Retrieval Augmentation for Repository-Level Code Completion ACL 2024 Data Free Backdoor Attacks NeurIPS 2024 Data-Free Generalized Zero-Shot Learning AAAI 2024