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)

Confidence is not Timeless: Modeling Temporal Validity for Rule-based Temporal Knowledge Graph Forecasting ACL 2024 Confidence Matters: Enhancing Medical Image Classification Through Uncertainty-Driven Contrastive Self-Distillation MICCAI 2024 Confidence Under the Hood: An Investigation into the Confidence-Probability Alignment in Large Language Models ACL 2024 Confidential-DPproof: Confidential Proof of Differentially Private Training ICLR 2024 Conformal Alignment: Knowing When to Trust Foundation Models with Guarantees NeurIPS 2024 Conformal Autoregressive Generation: Beam Search with Coverage Guarantees AAAI 2024 Conformal Contextual Robust Optimization AISTATS 2024 Conformal Inference for Online Prediction with Arbitrary Distribution Shifts JMLR 2024 Conformal Inverse Optimization NeurIPS 2024 Conformalized Multiple Testing after Data-dependent Selection NeurIPS 2024 Conformalized Semi-supervised Random Forest for Classification and Abnormality Detection AISTATS 2024 Conformalized Time Series with Semantic Features NeurIPS 2024 Conformal Prediction Regions for Time Series Using Linear Complementarity Programming AAAI 2024 CONFORM: Contrast is All You Need for High-Fidelity Text-to-Image Diffusion Models CVPR 2024 Confounded Budgeted Causal Bandits CLeaR 2024 Confucius: Iterative Tool Learning from Introspection Feedback by Easy-to-Difficult Curriculum AAAI 2024 Confusing Pair Correction Based on Category Prototype for Domain Adaptation under Noisy Environments AAAI 2024 ConGraT: Self-Supervised Contrastive Pretraining for Joint Graph and Text Embeddings ACL 2024 Conjugated Semantic Pool Improves OOD Detection with Pre-trained Vision-Language Models NeurIPS 2024 Connect, Collapse, Corrupt: Learning Cross-Modal Tasks with Uni-Modal Data ICLR 2024 Connecting Joint-Embedding Predictive Architecture with Contrastive Self-supervised Learning NeurIPS 2024 Connecting the Dots: Collaborative Fine-tuning for Black-Box Vision-Language Models ICML 2024 Connecting the Dots: Evaluating Abstract Reasoning Capabilities of LLMs Using the New York Times Connections Word Game EMNLP 2024 Connecting the Dots: Inferring Patent Phrase Similarity with Retrieved Phrase Graphs NAACL 2024 Connecting the Dots: LLMs can Infer and Verbalize Latent Structure from Disparate Training Data NeurIPS 2024