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Supervised Learning

988 directly classified papers

Papers per year

Papers

Learning to compute Gröbner bases NIPS 2024
Muharaf: Manuscripts of Handwritten Arabic Dataset for Cursive Text Recognition NIPS 2024
Instruction Fine-Tuning: Does Prompt Loss Matter? EMNLP 2024
Realizable $H$-Consistent and Bayes-Consistent Loss Functions for Learning to Defer NIPS 2024
DART-Math: Difficulty-Aware Rejection Tuning for Mathematical Problem-Solving NIPS 2024
Learning Only When It Matters: Cost-Aware Long-Tailed Classification AAAI 2024
Near-Optimal Streaming Heavy-Tailed Statistical Estimation with Clipped SGD NIPS 2024
Why Do We Need Weight Decay in Modern Deep Learning? NIPS 2024
Deep Image Fingerprint: Towards Low Budget Synthetic Image Detection and Model Lineage Analysis WACV 2024
Derandomizing Multi-Distribution Learning NIPS 2024
Full Bayesian Significance Testing for Neural Networks AAAI 2024
End-to-End Learning of LTLf Formulae by Faithful LTLf Encoding AAAI 2024
FairSIN: Achieving Fairness in Graph Neural Networks through Sensitive Information Neutralization AAAI 2024
Benchmarking PtO and PnO Methods in the Predictive Combinatorial Optimization Regime NIPS 2024
Boosted Conformal Prediction Intervals NIPS 2024
Influential Exemplar Replay for Incremental Learning in Recommender Systems AAAI 2024
Predicting Real-World Penny Auction Durations by Integrating Game Theory and Machine Learning AAAI 2024
When Are Two Lists Better than One?: Benefits and Harms in Joint Decision-Making AAAI 2024
Generalisation through Negation and Predicate Invention AAAI 2024
Approximate Leave-one-out Cross Validation for Regression with $\ell_1$ Regularizers AISTATS 2024
Simplicity Bias in Overparameterized Machine Learning AAAI 2024
Korean Bio-Medical Corpus (KBMC) for Medical Named Entity Recognition COLING 2024
Hypothesis Testing for Class-Conditional Noise Using Local Maximum Likelihood AAAI 2024
DeepSaDe: Learning Neural Networks That Guarantee Domain Constraint Satisfaction AAAI 2024
Efficient Availability Attacks against Supervised and Contrastive Learning Simultaneously NIPS 2024