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)

Continual Test-time Adaptation for End-to-end Speech Recognition on Noisy Speech EMNLP 2024 Continual Test-Time Domain Adaptation via Dynamic Sample Selection WACV 2024 Continual Vision-Language Retrieval via Dynamic Knowledge Rectification AAAI 2024 Continued Pre-training on Sentence Analogies for Translation with Small Data COLING 2024 Continuous Adaptation for Interactive Segmentation Using Teacher-Student Architecture WACV 2024 Continuous Contrastive Learning for Long-Tailed Semi-Supervised Recognition NeurIPS 2024 Continuous Invariance Learning ICLR 2024 Continuously Learning, Adapting, and Improving: A Dual-Process Approach to Autonomous Driving NeurIPS 2024 Continuous Partitioning for Graph-Based Semi-Supervised Learning NeurIPS 2024 Continuous Prediction with Experts' Advice JMLR 2024 Contracting with a Learning Agent NeurIPS 2024 ContraNovo: A Contrastive Learning Approach to Enhance De Novo Peptide Sequencing AAAI 2024 ContraSim – Analyzing Neural Representations Based on Contrastive Learning NAACL 2024 CONTRAST: Continual Multi-source Adaptation to Dynamic Distributions NeurIPS 2024 Contrasting Intra-Modal and Ranking Cross-Modal Hard Negatives to Enhance Visio-Linguistic Compositional Understanding CVPR 2024 Contrasting with Symile: Simple Model-Agnostic Representation Learning for Unlimited Modalities NeurIPS 2024 Contrastive and Consistency Learning for Neural Noisy-Channel Model in Spoken Language Understanding NAACL 2024 Contrastive and View-Interaction Structure Learning for Multi-view Clustering IJCAI 2024 Contrastive Continual Learning with Importance Sampling and Prototype-Instance Relation Distillation AAAI 2024 Contrastive Credibility Propagation for Reliable Semi-supervised Learning AAAI 2024 Contrastive Denoising Score for Text-guided Latent Diffusion Image Editing CVPR 2024 Contrastive Difference Predictive Coding ICLR 2024 Contrastive dimension reduction: when and how? NeurIPS 2024 Contrastive-Equivariant Self-Supervised Learning Improves Alignment with Primate Visual Area IT NeurIPS 2024 Contrastive Feedback Mechanism for Simultaneous Speech Translation Interspeech 2024