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)

Generalisation through Negation and Predicate Invention AAAI 2024 Generalizability of Mixture of Domain-Specific Adapters from the Lens of Signed Weight Directions and its Application to Effective Model Pruning ACL 2024 Generalizable Fourier Augmentation for Unsupervised Video Object Segmentation AAAI 2024 Generalizable Policy Improvement via Reinforcement Sampling (Student Abstract) AAAI 2024 Generalizable Sarcasm Detection is Just Around the Corner, of Course! NAACL 2024 Generalizable Task Representation Learning for Offline Meta-Reinforcement Learning with Data Limitations AAAI 2024 Generalizable Whole Slide Image Classification with Fine-Grained Visual-Semantic Interaction CVPR 2024 Generalization and Stability of Interpolating Neural Networks with Minimal Width JMLR 2024 Generalization Bound and New Algorithm for Clean-Label Backdoor Attack ICML 2024 Generalization Measures for Zero-Shot Cross-Lingual Transfer EMNLP 2024 Generalization or Memorization: Data Contamination and Trustworthy Evaluation for Large Language Models ACL 2024 Generalized Category Discovery with Large Language Models in the Loop ACL 2024 Generalized Fast Exact Conformalization NeurIPS 2024 Generalized Independent Noise Condition for Estimating Causal Structure with Latent Variables JMLR 2024 Generalized Source Tracing: Detecting Novel Audio Deepfake Algorithm with Real Emphasis and Fake Dispersion Strategy Interspeech 2024 Generalize or Detect? Towards Robust Semantic Segmentation Under Multiple Distribution Shifts NeurIPS 2024 Generalizing Clinical De-identification Models by Privacy-safe Data Augmentation using GPT-4 EMNLP 2024 Generalizing Conversational Dense Retrieval via LLM-Cognition Data Augmentation ACL 2024 Generalizing Weather Forecast to Fine-grained Temporal Scales via Physics-AI Hybrid Modeling NeurIPS 2024 General Point Model Pretraining with Autoencoding and Autoregressive CVPR 2024 Generate Like Experts: Multi-Stage Font Generation by Incorporating Font Transfer Process into Diffusion Models CVPR 2024 Generate Synthetic Text Approximating the Private Distribution with Differential Privacy IJCAI 2024 Generate-then-Ground in Retrieval-Augmented Generation for Multi-hop Question Answering ACL 2024 Generate then Refine: Data Augmentation for Zero-shot Intent Detection EMNLP 2024 Generating and Imputing Tabular Data via Diffusion and Flow-based Gradient-Boosted Trees AISTATS 2024