| Beyond One-Size-Fits-All: Tailored Benchmarks for Efficient Evaluation | Feb 19, 2025 | AllModel Selection | CodeCode Available | 0 | 5 |
| FlowStep3D: Model Unrolling for Self-Supervised Scene Flow Estimation | Nov 19, 2020 | AllRolling Shutter Correction | CodeCode Available | 0 | 5 |
| Finnish Paraphrase Corpus | Mar 24, 2021 | All | CodeCode Available | 0 | 5 |
| Scaling All-Goals Updates in Reinforcement Learning Using Convolutional Neural Networks | Oct 6, 2018 | AllMontezuma's Revenge | CodeCode Available | 0 | 5 |
| Focus Is All You Need: Loss Functions For Event-based Vision | Apr 15, 2019 | AllEvent-based vision | CodeCode Available | 0 | 5 |
| From Big to Small Without Losing It All: Text Augmentation with ChatGPT for Efficient Sentiment Analysis | Dec 7, 2023 | AllSentiment Analysis | CodeCode Available | 0 | 5 |
| "All that Glitters": Approaches to Evaluations with Unreliable Model and Human Annotations | Nov 23, 2024 | AllFairness | CodeCode Available | 0 | 5 |
| Randomized Quantization is All You Need for Differential Privacy in Federated Learning | Jun 20, 2023 | AllFederated Learning | CodeCode Available | 0 | 5 |
| Finding All ε-Good Arms in Stochastic Bandits | Jun 16, 2020 | AllMulti-Armed Bandits | CodeCode Available | 0 | 5 |
| Few Labels are all you need: A Weakly Supervised Framework for Appliance Localization in Smart-Meter Series | Jun 6, 2025 | AllNon-Intrusive Load Monitoring | CodeCode Available | 0 | 5 |
| Betti numbers of attention graphs is all you really need | Jul 5, 2022 | AllClassification | CodeCode Available | 0 | 5 |
| Don’t Discard All the Biased Instances: Investigating a Core Assumption in Dataset Bias Mitigation Techniques | Nov 1, 2021 | AllBias Detection | CodeCode Available | 0 | 5 |
| Few-shot Fine-tuning is All You Need for Source-free Domain Adaptation | Apr 3, 2023 | AllDomain Adaptation | CodeCode Available | 0 | 5 |
| Funnelling: A New Ensemble Method for Heterogeneous Transfer Learning and its Application to Cross-Lingual Text Classification | Jan 31, 2019 | AllClassification | CodeCode Available | 0 | 5 |
| Are Ensembles Getting Better all the Time? | Nov 29, 2023 | All | CodeCode Available | 0 | 5 |
| Fair Representation: Guaranteeing Approximate Multiple Group Fairness for Unknown Tasks | Sep 1, 2021 | AllFairness | CodeCode Available | 0 | 5 |
| Face Recognition: Primates in the Wild | Apr 24, 2018 | AllFace Recognition | CodeCode Available | 0 | 5 |
| Do We Really Need All Those Rich Linguistic Features? A Neural Network-Based Approach to Implicit Sense Labeling | Aug 1, 2016 | AllReading Comprehension | CodeCode Available | 0 | 5 |
| Fairkit, Fairkit, on the Wall, Who's the Fairest of Them All? Supporting Data Scientists in Training Fair Models | Dec 17, 2020 | AllBIG-bench Machine Learning | CodeCode Available | 0 | 5 |
| Dreaming is All You Need | Sep 3, 2024 | AllDecoder | CodeCode Available | 0 | 5 |
| All Should Be Equal in the Eyes of Language Models: Counterfactually Aware Fair Text Generation | Nov 9, 2023 | AllFairness | CodeCode Available | 0 | 5 |
| BERT of all trades, master of some | May 1, 2020 | Alltext-classification | CodeCode Available | 0 | 5 |
| DropCompute: simple and more robust distributed synchronous training via compute variance reduction | Jun 18, 2023 | All | CodeCode Available | 0 | 5 |
| Dropout is NOT All You Need to Prevent Gradient Leakage | Aug 12, 2022 | AllFederated Learning | CodeCode Available | 0 | 5 |
| Exploring and steering the moral compass of Large Language Models | May 27, 2024 | AllDecision Making | CodeCode Available | 0 | 5 |
