Skip to content
conftrace_

Learning Types

56,254 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 (1,984) 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)

Incomplete learning of multi-modal connectome for brain disorder diagnosis via modal-mixup and deep supervision MIDL 2023 Incomplete Multimodality-Diffused Emotion Recognition NeurIPS 2023 Incomplete Multi-view Clustering via Prototype-based Imputation IJCAI 2023 Incomplete Utterance Rewriting as Sequential Greedy Tagging ACL 2023 In-Context Demonstration Selection with Cross Entropy Difference EMNLP 2023 In-Context Learning Creates Task Vectors EMNLP 2023 In-context Learning for Few-shot Multimodal Named Entity Recognition EMNLP 2023 In-Context Learning for Text Classification with Many Labels EMNLP 2023 In-context Learning of Large Language Models for Controlled Dialogue Summarization: A Holistic Benchmark and Empirical Analysis EMNLP 2023 In-Context Meta-Learning vs. Semantic Score-Based Similarity: A Comparative Study in Arabic Short Answer Grading EMNLP 2023 Incorporating Attribution Importance for Improving Faithfulness Metrics ACL 2023 Incorporating Factuality Inference to Identify Document-level Event Factuality ACL 2023 Incorporating functional summary information in Bayesian neural networks using a Dirichlet process likelihood approach AISTATS 2023 Incorporating Probing Signals into Multimodal Machine Translation via Visual Question-Answering Pairs EMNLP 2023 Incorporating Syntactic Knowledge into Pre-trained Language Model using Optimization for Overcoming Catastrophic Forgetting EMNLP 2023 Incorporating Task-Specific Concept Knowledge into Script Learning EACL 2023 Incorporating Unlikely Negative Cues for Distinctive Image Captioning IJCAI 2023 Increasing Impact of Mobile Health Programs: SAHELI for Maternal and Child Care AAAI 2023 Incremental Aggregated Riemannian Gradient Method for Distributed PCA AISTATS 2023 Incremental-DETR: Incremental Few-Shot Object Detection via Self-Supervised Learning AAAI 2023 Incremental Generalized Category Discovery ICCV 2023 Incremental Image De-raining via Associative Memory AAAI 2023 Incremental Learning of Structured Memory via Closed-Loop Transcription ICLR 2023 Incremental Reinforcement Learning with Dual-Adaptive ε-Greedy Exploration AAAI 2023 Incrementer: Transformer for Class-Incremental Semantic Segmentation With Knowledge Distillation Focusing on Old Class CVPR 2023