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)

Focus on Query: Adversarial Mining Transformer for Few-Shot Segmentation NeurIPS 2023 Focus on the Sound around You: Monaural Target Speaker Extraction via Distance and Speaker Information Interspeech 2023 Focus the Discrepancy: Intra- and Inter-Correlation Learning for Image Anomaly Detection ICCV 2023 Focus Your Attention when Few-Shot Classification NeurIPS 2023 Folded Hamiltonian Monte Carlo for Bayesian Generative Adversarial Networks ACML 2023 Follow the Knowledge: Structural Biases and Artefacts in Knowledge Grounded Dialog Datasets ACL 2023 Fooling Speaker Identification Systems with Adversarial Background Music Interspeech 2023 FoPro: Few-Shot Guided Robust Webly-Supervised Prototypical Learning AAAI 2023 Forecast-MAE: Self-supervised Pre-training for Motion Forecasting with Masked Autoencoders ICCV 2023 Foreground Guidance and Multi-Layer Feature Fusion for Unsupervised Object Discovery With Transformers WACV 2023 ForestPrune: Compact Depth-Pruned Tree Ensembles AISTATS 2023 FORK: A Bite-Sized Test Set for Probing Culinary Cultural Biases in Commonsense Reasoning Models ACL 2023 ForkMerge: Mitigating Negative Transfer in Auxiliary-Task Learning NeurIPS 2023 Formally Verified Solution Methods for Markov Decision Processes AAAI 2023 FormNetV2: Multimodal Graph Contrastive Learning for Form Document Information Extraction ACL 2023 For Pre-Trained Vision Models in Motor Control, Not All Policy Learning Methods are Created Equal ICML 2023 For Women, Life, Freedom: A Participatory AI-Based Social Web Analysis of a Watershed Moment in Iran's Gender Struggles IJCAI 2023 Foundation Model Drives Weakly Incremental Learning for Semantic Segmentation CVPR 2023 Foundation Model for Material Science AAAI 2023 Foundations of Cooperative AI AAAI 2023 Four Approaches to Low-Resource Multilingual NMT: The Helsinki Submission to the AmericasNLP 2023 Shared Task ACL 2023 Fourier-Net: Fast Image Registration with Band-Limited Deformation AAAI 2023 FPR: False Positive Rectification for Weakly Supervised Semantic Segmentation ICCV 2023 Fractional Denoising for 3D Molecular Pre-training ICML 2023 Fragment-based Pretraining and Finetuning on Molecular Graphs NeurIPS 2023