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Classification

15,805 papers

Papers per year

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Papers

Supertagging with CCG primitives ACL 2020
SIGMORPHON 2020 Task 0 System Description: ETH Zürich Team ACL 2020
The UniMelb Submission to the SIGMORPHON 2020 Shared Task 0: Typologically Diverse Morphological Inflection ACL 2020
Evaluating Neural Morphological Taggers for Sanskrit ACL 2020
Enhancing Bias Detection in Political News Using Pragmatic Presupposition ACL 2020
Demoting Racial Bias in Hate Speech Detection ACL 2020
Semantic-Guided Shared Feature Alignment for Occluded Person Re-IDentification ACML 2020
Boosting-Based Reliable Model Reuse ACML 2020
Bridging Ordinary-Label Learning and Complementary-Label Learning ACML 2020
Deep Dynamic Boosted Forest ACML 2020
Exact Passive-Aggressive Algorithms for Multiclass Classification Using Bandit Feedbacks ACML 2020
Geodesically-convex optimization for averaging partially observed covariance matrices ACML 2020
Learning from Label Proportions with Consistency Regularization ACML 2020
Learning Interpretable Models using Soft Integrity Constraints ACML 2020
PSForest: Improving Deep Forest via Feature Pooling and Error Screening ACML 2020
Robust Deep Ordinal Regression under Label Noise ACML 2020
A foreground detection algorithm for Time-of-Flight cameras adapted dynamic integration time adjustment and multipath distortions ACML 2020
Non-Parametric Calibration for Classification AISTATS 2020
LIBRE: Learning Interpretable Boolean Rule Ensembles AISTATS 2020
Fair Decisions Despite Imperfect Predictions AISTATS 2020
Adaptive Online Kernel Sampling for Vertex Classification AISTATS 2020
Online Binary Space Partitioning Forests AISTATS 2020
More Powerful Selective Kernel Tests for Feature Selection AISTATS 2020
Elimination of All Bad Local Minima in Deep Learning AISTATS 2020
Scalable Feature Selection for (Multitask) Gradient Boosted Trees AISTATS 2020