Supervised Learning

FloW: A Dataset and Benchmark for Floating Waste Detection in Inland Waters ICCV 2021 Generalize a Small Pre-trained Model to Arbitrarily Large TSP Instances AAAI 2021 Gradient-Based Algorithms for Machine Teaching CVPR 2021 GTN-ED: Event Detection Using Graph Transformer Networks NAACL 2021 ICL’s Submission to the WMT21 Critical Error Detection Shared Task EMNLP 2021 Imprecise Oracles Impose Limits to Predictability in Supervised Learning (Extended Abstract) IJCAI 2021 Improving the Performance-Compatibility Tradeoff with Personalized Objective Functions (Student Abstract) AAAI 2021 Influence-Balanced Loss for Imbalanced Visual Classification ICCV 2021 Instance-adaptive training with noise-robust losses against noisy labels EMNLP 2021 Introduction to Machine Learning with Robots and Playful Learning AAAI 2021 Jo-SRC: A Contrastive Approach for Combating Noisy Labels CVPR 2021 Knowledge Distillation with Noisy Labels for Natural Language Understanding EMNLP 2021 Lattice partition recovery with dyadic CART NeurIPS 2021 Learning about Word Vector Representations and Deep Learning through Implementing Word2vec NAACL 2021 Learning Branching Heuristics for Propositional Model Counting AAAI 2021 Learning Deep Neural Networks under Agnostic Corrupted Supervision ICML 2021 Learning from Noisy Labels with No Change to the Training Process ICML 2021 Learning How To Learn NLP: Developing Introductory Concepts Through Scaffolded Discovery NAACL 2021 Learning Recurrent Neural Net Models of Nonlinear Systems L4DC 2021 Learning with Group Noise AAAI 2021 Learn To Cluster Faces via Pairwise Classification ICCV 2021 Locally Adaptive Label Smoothing Improves Predictive Churn ICML 2021 Machine Unlearning for Random Forests ICML 2021 MixMo: Mixing Multiple Inputs for Multiple Outputs via Deep Subnetworks ICCV 2021 Modern Talking in Key Point Analysis: Key Point Matching using Pretrained Encoders EMNLP 2021