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)

From Pretraining Data to Language Models to Downstream Tasks: Tracking the Trails of Political Biases Leading to Unfair NLP Models ACL 2023 From Relevance to Utility: Evidence Retrieval with Feedback for Fact Verification EMNLP 2023 From Robustness to Privacy and Back ICML 2023 From Simple to Complex: A Progressive Framework for Document-level Informative Argument Extraction EMNLP 2023 From Ultra-Fine to Fine: Fine-tuning Ultra-Fine Entity Typing Models to Fine-grained ACL 2023 From ViT Features to Training-free Video Object Segmentation via Streaming-data Mixture Models NeurIPS 2023 From Wrong To Right: A Recursive Approach Towards Vision-Language Explanation EMNLP 2023 Frozen Language Model Helps ECG Zero-Shot Learning MIDL 2023 Frugal Prompting for Dialog Models EMNLP 2023 Frustratingly Easy Label Projection for Cross-lingual Transfer ACL 2023 Frustratingly Easy Truth Discovery AAAI 2023 Full or Weak Annotations? An Adaptive Strategy for Budget-Constrained Annotation Campaigns CVPR 2023 Fully-Adaptive Composition in Differential Privacy ICML 2023 Fully Attentional Networks with Self-emerging Token Labeling ICCV 2023 Fully Dynamic Online Selection through Online Contention Resolution Schemes AAAI 2023 Fully Self-Supervised Depth Estimation From Defocus Clue CVPR 2023 FunkNN: Neural Interpolation for Functional Generation ICLR 2023 Further Adaptive Best-of-Both-Worlds Algorithm for Combinatorial Semi-Bandits AISTATS 2023 FusionRetro: Molecule Representation Fusion via In-Context Learning for Retrosynthetic Planning ICML 2023 FUSSL: Fuzzy Uncertain Self Supervised Learning WACV 2023 Future-conditioned Unsupervised Pretraining for Decision Transformer ICML 2023 Fuzzy Positive Learning for Semi-Supervised Semantic Segmentation CVPR 2023 FVQA 2.0: Introducing Adversarial Samples into Fact-based Visual Question Answering EACL 2023 G2L: Semantically Aligned and Uniform Video Grounding via Geodesic and Game Theory ICCV 2023 G2Pxy: Generative Open-Set Node Classification on Graphs with Proxy Unknowns IJCAI 2023