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Weakly Supervised Learning

3,895 papers

Papers per year

Papers

Reward-rational (implicit) choice: A unifying formalism for reward learning NIPS 2020
Temporal Positive-unlabeled Learning for Biomedical Hypothesis Generation via Risk Estimation NIPS 2020
Semi-Supervised Partial Label Learning via Confidence-Rated Margin Maximization NIPS 2020
UWSOD: Toward Fully-Supervised-Level Capacity Weakly Supervised Object Detection NIPS 2020
Dual T: Reducing Estimation Error for Transition Matrix in Label-noise Learning NIPS 2020
Part-dependent Label Noise: Towards Instance-dependent Label Noise NIPS 2020
Learning from Aggregate Observations NIPS 2020
Learnability with Indirect Supervision Signals NIPS 2020
Provably Consistent Partial-Label Learning NIPS 2020
Coresets for Robust Training of Deep Neural Networks against Noisy Labels NIPS 2020
Disentangling Human Error from Ground Truth in Segmentation of Medical Images NIPS 2020
Comprehensive Attention Self-Distillation for Weakly-Supervised Object Detection NIPS 2020
Identifying Mislabeled Data using the Area Under the Margin Ranking NIPS 2020
Counterfactual Contrastive Learning for Weakly-Supervised Vision-Language Grounding NIPS 2020
The MAGICAL Benchmark for Robust Imitation NIPS 2020
Preference-based Reinforcement Learning with Finite-Time Guarantees NIPS 2020
Weakly Supervised Deep Functional Maps for Shape Matching NIPS 2020
Self-Adaptive Training: beyond Empirical Risk Minimization NIPS 2020
Counterfactual Prediction for Bundle Treatment NIPS 2020
Dialog without Dialog Data: Learning Visual Dialog Agents from VQA Data NIPS 2020
Early-Learning Regularization Prevents Memorization of Noisy Labels NIPS 2020
Learning from Failure: De-biasing Classifier from Biased Classifier NIPS 2020
Canonical 3D Deformer Maps: Unifying parametric and non-parametric methods for dense weakly-supervised category reconstruction NIPS 2020
A Topological Filter for Learning with Label Noise NIPS 2020
A General Method for Robust Learning from Batches NIPS 2020