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)

Disfluency Generation for More Robust Dialogue Systems ACL 2023 Disfluent Cues for Enhanced Speech Understanding in Large Language Models EMNLP 2023 DisGUIDE: Disagreement-Guided Data-Free Model Extraction AAAI 2023 Dish-TS: A General Paradigm for Alleviating Distribution Shift in Time Series Forecasting AAAI 2023 Dissecting Chain-of-Thought: Compositionality through In-Context Filtering and Learning NeurIPS 2023 Distance-to-Set Priors and Constrained Bayesian Inference AISTATS 2023 Distance Weighted Supervised Learning for Offline Interaction Data ICML 2023 DISTANT: Distantly Supervised Entity Span Detection and Classification ACL 2023 Distantly Supervised Course Concept Extraction in MOOCs with Academic Discipline ACL 2023 Distantly-Supervised Named Entity Recognition with Adaptive Teacher Learning and Fine-Grained Student Ensemble AAAI 2023 DistillCSE: Distilled Contrastive Learning for Sentence Embeddings EMNLP 2023 Distilled Reverse Attention Network for Open-world Compositional Zero-Shot Learning ICCV 2023 Distilling Coarse-to-Fine Semantic Matching Knowledge for Weakly Supervised 3D Visual Grounding ICCV 2023 Distilling Efficient Language-Specific Models for Cross-Lingual Transfer ACL 2023 Distilling from Similar Tasks for Transfer Learning on a Budget ICCV 2023 Distilling Reasoning Capabilities into Smaller Language Models ACL 2023 Distilling Self-Supervised Vision Transformers for Weakly-Supervised Few-Shot Classification & Segmentation CVPR 2023 Distilling Step-by-Step! Outperforming Larger Language Models with Less Training Data and Smaller Model Sizes ACL 2023 Distilling Vision-Language Pre-Training To Collaborate With Weakly-Supervised Temporal Action Localization CVPR 2023 Distill or Annotate? Cost-Efficient Fine-Tuning of Compact Models ACL 2023 DistilXLSR: A Light Weight Cross-Lingual Speech Representation Model Interspeech 2023 Distinguish Before Answer: Generating Contrastive Explanation as Knowledge for Commonsense Question Answering ACL 2023 Distinguishing Romanized Hindi from Romanized Urdu ACL 2023 DistractFlow: Improving Optical Flow Estimation via Realistic Distractions and Pseudo-Labeling CVPR 2023 Distracting Downpour: Adversarial Weather Attacks for Motion Estimation ICCV 2023