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 Augmented Flatness-aware Gradient Projection for Continual Learning ICCV 2023 Data Banzhaf: A Robust Data Valuation Framework for Machine Learning AISTATS 2023 Data-Centric Learning from Unlabeled Graphs with Diffusion Model NeurIPS 2023 DataComp: In search of the next generation of multimodal datasets NeurIPS 2023 Data Curation Alone Can Stabilize In-context Learning ACL 2023 Data-Driven Subgroup Identification for Linear Regression ICML 2023 Data-efficient Active Learning for Structured Prediction with Partial Annotation and Self-Training EMNLP 2023 Data-Efficient Contrastive Self-supervised Learning: Most Beneficial Examples for Supervised Learning Contribute the Least ICML 2023 Data-Efficient Large Scale Place Recognition With Graded Similarity Supervision CVPR 2023 Data-Efficient Methods For Improving Hate Speech Detection EACL 2023 Data-Free Class-Incremental Hand Gesture Recognition ICCV 2023 Data-Free Sketch-Based Image Retrieval CVPR 2023 Data Imputation with Iterative Graph Reconstruction AAAI 2023 Data Labeling for Machine Learning Engineers: Project-Based Curriculum and Data-Centric Competitions AAAI 2023 Data Pruning via Moving-one-Sample-out NeurIPS 2023 Data Sampling and (In)stability in Machine Translation Evaluation ACL 2023 DaTaSeg: Taming a Universal Multi-Dataset Multi-Task Segmentation Model NeurIPS 2023 Data Selection Curriculum for Abstractive Text Summarization EMNLP 2023 Dataset Pruning: Reducing Training Data by Examining Generalization Influence ICLR 2023 DAW: Exploring the Better Weighting Function for Semi-supervised Semantic Segmentation NeurIPS 2023 D-CALM: A Dynamic Clustering-based Active Learning Approach for Mitigating Bias ACL 2023 DCCRN-KWS: An Audio Bias Based Model for Noise Robust Small-Footprint Keyword Spotting Interspeech 2023 DCU at SemEval-2023 Task 10: A Comparative Analysis of Encoder-only and Decoder-only Language Models with Insights into Interpretability SemEval 2023 DDF-HO: Hand-Held Object Reconstruction via Conditional Directed Distance Field NeurIPS 2023 DDG-Net: Discriminability-Driven Graph Network for Weakly-supervised Temporal Action Localization ICCV 2023