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)

ELAD: Explanation-Guided Large Language Models Active Distillation ACL 2024 Elastic Feature Consolidation For Cold Start Exemplar-Free Incremental Learning ICLR 2024 ELC-ParserBERT: Low-Resource Language Modeling Utilizing a Parser Network With ELC-BERT CoNLL 2024 ELF-UA: Efficient Label-Free User Adaptation in Gaze Estimation IJCAI 2024 Eliciting Better Multilingual Structured Reasoning from LLMs through Code ACL 2024 Eliciting Kemeny Rankings AAAI 2024 Eliminating Biased Length Reliance of Direct Preference Optimization via Down-Sampled KL Divergence EMNLP 2024 ELiRF-VRAIN at BioLaySumm: Boosting Lay Summarization Systems Performance with Ranking Models ACL 2024 ELLA: Empowering LLMs for Interpretable, Accurate and Informative Legal Advice ACL 2024 ELLEN: Extremely Lightly Supervised Learning for Efficient Named Entity Recognition COLING 2024 Embedded Feature Selection on Graph-Based Multi-View Clustering AAAI 2024 Embedding and Gradient Say Wrong: A White-Box Method for Hallucination Detection EMNLP 2024 Embedding Dimension of Contrastive Learning and k-Nearest Neighbors NeurIPS 2024 Embedding Trajectory for Out-of-Distribution Detection in Mathematical Reasoning NeurIPS 2024 Embible: Reconstruction of Ancient Hebrew and Aramaic Texts Using Transformers EACL 2024 Embodied Executable Policy Learning with Language-based Scene Summarization NAACL 2024 Embracing Language Inclusivity and Diversity in CLIP through Continual Language Learning AAAI 2024 Embracing Unimodal Aleatoric Uncertainty for Robust Multimodal Fusion CVPR 2024 EMC$^2$: Efficient MCMC Negative Sampling for Contrastive Learning with Global Convergence ICML 2024 EmerDiff: Emerging Pixel-level Semantic Knowledge in Diffusion Models ICLR 2024 Emergence of Hidden Capabilities: Exploring Learning Dynamics in Concept Space NeurIPS 2024 Emergent mechanisms for long timescales depend on training curriculum and affect performance in memory tasks ICLR 2024 Emergent Open-Vocabulary Semantic Segmentation from Off-the-shelf Vision-Language Models CVPR 2024 Emergent specialization from participation dynamics and multi-learner retraining AISTATS 2024 EmerNeRF: Emergent Spatial-Temporal Scene Decomposition via Self-Supervision ICLR 2024