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)

On the Effects of Fairness to Adversarial Vulnerability IJCAI 2024 On the Essence and Prospect: An Investigation of Alignment Approaches for Big Models IJCAI 2024 On the Estimation of Image-matching Uncertainty in Visual Place Recognition CVPR 2024 On the Evaluation of Speech Foundation Models for Spoken Language Understanding ACL 2024 On the Expressivity of Recurrent Neural Cascades AAAI 2024 On the Faithfulness of Vision Transformer Explanations CVPR 2024 On the Fragility of Active Learners for Text Classification EMNLP 2024 On the Generalization Ability of Unsupervised Pretraining AISTATS 2024 On the Generalization of Training-based ChatGPT Detection Methods EMNLP 2024 On the Growth of Mistakes in Differentially Private Online Learning: A Lower Bound Perspective COLT 2024 On the Hallucination in Simultaneous Machine Translation ACL 2024 On the Impact of Hard Adversarial Instances on Overfitting in Adversarial Training JMLR 2024 On the impact of several regularization techniques on label noise robustness of self-supervised speaker verification systems Interspeech 2024 On the Importance of Application-Grounded Experimental Design for Evaluating Explainable ML Methods AAAI 2024 On the Importance of Large Objects in CNN Based Object Detection Algorithms WACV 2024 On the In-context Generation of Language Models EMNLP 2024 On the Intractability to Synthesize Factual Inconsistencies in Summarization EACL 2024 On the Language Encoder of Contrastive Cross-modal Models ACL 2024 On the Learnability of Out-of-distribution Detection JMLR 2024 On the Limited Generalization Capability of the Implicit Reward Model Induced by Direct Preference Optimization EMNLP 2024 On the Minimax Regret for Contextual Linear Bandits and Multi-Armed Bandits with Expert Advice NeurIPS 2024 On the Misspecification of Linear Assumptions in Synthetic Controls AISTATS 2024 On the Model-Misspecification in Reinforcement Learning AISTATS 2024 On the Necessity of Collaboration for Online Model Selection with Decentralized Data NeurIPS 2024 On the Noise Robustness of In-Context Learning for Text Generation NeurIPS 2024