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)

Fairness without Demographics through Shared Latent Space-Based Debiasing AAAI 2024 Fairness without Harm: An Influence-Guided Active Sampling Approach NeurIPS 2024 Fair Online Bilateral Trade NeurIPS 2024 FairPlay: A Multi-Sided Fair Dynamic Pricing Policy for Hotels AAAI 2024 FairReFuse: Referee-Guided Fusion for Multi-Modal Causal Fairness in Depression Detection IJCAI 2024 FairRR: Pre-Processing for Group Fairness through Randomized Response AISTATS 2024 Fair Secretaries with Unfair Predictions NeurIPS 2024 FairSIN: Achieving Fairness in Graph Neural Networks through Sensitive Information Neutralization AAAI 2024 FairTrade: Achieving Pareto-Optimal Trade-Offs between Balanced Accuracy and Fairness in Federated Learning AAAI 2024 Faithful Explanations of Black-box NLP Models Using LLM-generated Counterfactuals ICLR 2024 Faithful Model Explanations through Energy-Constrained Conformal Counterfactuals AAAI 2024 Faithfulness and the Notion of Adversarial Sensitivity in NLP Explanations EMNLP 2024 Faithful Persona-based Conversational Dataset Generation with Large Language Models ACL 2024 Faithful Trip Recommender Using Diffusion Guidance (Student Abstract) AAAI 2024 Faithful Vision-Language Interpretation via Concept Bottleneck Models ICLR 2024 FAKD: Feature Augmented Knowledge Distillation for Semantic Segmentation WACV 2024 FanOutQA: A Multi-Hop, Multi-Document Question Answering Benchmark for Large Language Models ACL 2024 Fast Adaptation for Human Pose Estimation via Meta-Optimization CVPR 2024 FAST: A Dual-tier Few-Shot Learning Paradigm for Whole Slide Image Classification NeurIPS 2024 Fast Adversarial Attacks on Language Models In One GPU Minute ICML 2024 Fast and Adversarial Robust Kernelized SDU Learning AISTATS 2024 Fast and Continual Knowledge Graph Embedding via Incremental LoRA IJCAI 2024 Fast Best-of-N Decoding via Speculative Rejection NeurIPS 2024 Fast-DetectGPT: Efficient Zero-Shot Detection of Machine-Generated Text via Conditional Probability Curvature ICLR 2024 Faster Convergence with MultiWay Preferences AISTATS 2024