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)

Rethinking the Evaluation of Out-of-Distribution Detection: A Sorites Paradox NeurIPS 2024 Rethinking the Evaluation Protocol of Domain Generalization CVPR 2024 Rethinking the Multimodal Correlation of Multimodal Sequential Learning via Generalizable Attentional Results Alignment ACL 2024 Rethinking the Paradigm of Content Constraints in Unpaired Image-to-Image Translation AAAI 2024 Rethinking the Power of Timestamps for Robust Time Series Forecasting: A Global-Local Fusion Perspective NeurIPS 2024 Rethinking the Representation in Federated Unsupervised Learning with Non-IID Data CVPR 2024 Rethinking the Role of Proxy Rewards in Language Model Alignment EMNLP 2024 Rethinking the Uniformity Metric in Self-Supervised Learning ICLR 2024 Rethinking Two-Stage Referring Expression Comprehension: A Novel Grounding and Segmentation Method Modulated by Point AAAI 2024 Rethinking Weight Decay for Robust Fine-Tuning of Foundation Models NeurIPS 2024 Rethinking Word-level Adversarial Attack: The Trade-off between Efficiency, Effectiveness, and Imperceptibility COLING 2024 Retrieval-Augmented Code Generation for Situated Action Generation: A Case Study on Minecraft EMNLP 2024 Retrieval-Augmented Diffusion Models for Time Series Forecasting NeurIPS 2024 Retrieval-Augmented Egocentric Video Captioning CVPR 2024 Retrieval-Augmented Embodied Agents CVPR 2024 Retrieval Augmented Fact Verification by Synthesizing Contrastive Arguments ACL 2024 Retrieval Augmented Generation in Prompt-based Text-to-Speech Synthesis with Context-Aware Contrastive Language-Audio Pretraining Interspeech 2024 Retrieval-Augmented Layout Transformer for Content-Aware Layout Generation CVPR 2024 Retrieval-Augmented Primitive Representations for Compositional Zero-Shot Learning AAAI 2024 Retrieval Augmented Spelling Correction for E-Commerce Applications EMNLP 2024 Retrieval-based Disentangled Representation Learning with Natural Language Supervision ICLR 2024 Retrieval-Enhanced Contrastive Vision-Text Models ICLR 2024 Retrieval-enriched zero-shot image classification in low-resource domains EMNLP 2024 RetrievalQA: Assessing Adaptive Retrieval-Augmented Generation for Short-form Open-Domain Question Answering ACL 2024 Retrieved In-Context Principles from Previous Mistakes EMNLP 2024