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)

Optimizing Code Retrieval: High-Quality and Scalable Dataset Annotation through Large Language Models EMNLP 2024 Optimizing Instructions and Demonstrations for Multi-Stage Language Model Programs EMNLP 2024 Optimizing IT FinOps and Sustainability through Unsupervised Workload Characterization AAAI 2024 Optimizing Language Models for Human Preferences is a Causal Inference Problem UAI 2024 Optimizing Language Models with Fair and Stable Reward Composition in Reinforcement Learning EMNLP 2024 Optimizing Local Satisfaction of Long-Run Average Objectives in Markov Decision Processes AAAI 2024 Optimizing Relation Extraction in Medical Texts through Active Learning: A Comparative Analysis of Trade-offs EACL 2024 Oracle Efficient Algorithms for Groupwise Regret ICLR 2024 Oracle-Efficient Hybrid Online Learning with Unknown Distribution COLT 2024 Oracle-Efficient Pessimism: Offline Policy Optimization In Contextual Bandits AISTATS 2024 Orchestrate Latent Expertise: Advancing Online Continual Learning with Multi-Level Supervision and Reverse Self-Distillation CVPR 2024 Orchid: Flexible and Data-Dependent Convolution for Sequence Modeling NeurIPS 2024 OrCo: Towards Better Generalization via Orthogonality and Contrast for Few-Shot Class-Incremental Learning CVPR 2024 Order Effects in Annotation Tasks: Further Evidence of Annotation Sensitivity EACL 2024 Order-Independence Without Fine Tuning NeurIPS 2024 Order of Magnitude Speedups for LLM Membership Inference EMNLP 2024 ORPO: Monolithic Preference Optimization without Reference Model EMNLP 2024 Orthogonal Adaptation for Modular Customization of Diffusion Models CVPR 2024 Orthogonal Gradient Boosting for Simpler Additive Rule Ensembles AISTATS 2024 Orthogonality and isotropy of speaker and phonetic information in self-supervised speech representations Interspeech 2024 ORTicket: Let One Robust BERT Ticket Transfer across Different Tasks COLING 2024 OR-TSE: An Overlap-Robust Speaker Encoder for Target Speech Extraction Interspeech 2024 OSLO: One-Shot Label-Only Membership Inference Attacks NeurIPS 2024 OST: Refining Text Knowledge with Optimal Spatio-Temporal Descriptor for General Video Recognition CVPR 2024 OSWorld: Benchmarking Multimodal Agents for Open-Ended Tasks in Real Computer Environments NeurIPS 2024