| A Preference-aware Meta-optimization Framework for Personalized Vehicle Energy Consumption Estimation | Jun 26, 2023 | Memorization | CodeCode Available | 1 | 5 |
| Mitigating Memorization of Noisy Labels via Regularization between Representations | Oct 18, 2021 | Learning with noisy labelsMemorization | CodeCode Available | 1 | 5 |
| Arithmetic Without Algorithms: Language Models Solve Math With a Bag of Heuristics | Oct 28, 2024 | Arithmetic ReasoningMath | CodeCode Available | 1 | 5 |
| Learning to Generate Gradients for Test-Time Adaptation via Test-Time Training Layers | Dec 22, 2024 | MemorizationTest-time Adaptation | CodeCode Available | 1 | 5 |
| DEPN: Detecting and Editing Privacy Neurons in Pretrained Language Models | Oct 31, 2023 | MemorizationModel Editing | CodeCode Available | 1 | 5 |
| Learning Transferable Parameters for Unsupervised Domain Adaptation | Aug 13, 2021 | Domain Adaptationimage-classification | CodeCode Available | 1 | 5 |
| Grounding Consistency: Distilling Spatial Common Sense for Precise Visual Relationship Detection | Jan 1, 2021 | Common Sense ReasoningGraph Generation | CodeCode Available | 1 | 5 |
| CodeJudge-Eval: Can Large Language Models be Good Judges in Code Understanding? | Aug 20, 2024 | Code GenerationMemorization | CodeCode Available | 1 | 5 |
| Driving Style Representation in Convolutional Recurrent Neural Network Model of Driver Identification | Feb 11, 2021 | Autonomous VehiclesDriver Identification | CodeCode Available | 1 | 5 |
| Dissecting Generation Modes for Abstractive Summarization Models via Ablation and Attribution | Jun 3, 2021 | Abstractive Text SummarizationDecoder | CodeCode Available | 1 | 5 |
| Contrast to Divide: Self-Supervised Pre-Training for Learning with Noisy Labels | Mar 25, 2021 | Image ClassificationLearning with noisy labels | CodeCode Available | 1 | 5 |
| LlamaCare: A Large Medical Language Model for Enhancing Healthcare Knowledge Sharing | Jun 4, 2024 | ClassificationGPU | CodeCode Available | 1 | 5 |
| Copyright Traps for Large Language Models | Feb 14, 2024 | Memorization | CodeCode Available | 1 | 5 |
| Exploring Memorization in Adversarial Training | Jun 3, 2021 | Memorization | CodeCode Available | 1 | 5 |
| Do We Need Zero Training Loss After Achieving Zero Training Error? | Feb 20, 2020 | Memorization | CodeCode Available | 1 | 5 |
| Evolving Decomposed Plasticity Rules for Information-Bottlenecked Meta-Learning | Sep 8, 2021 | MemorizationMeta-Learning | CodeCode Available | 1 | 5 |
| Eicient Non-Sampling Factorization Machines for Optimal Context-Aware Recommendation | May 19, 2020 | MemorizationRecommendation Systems | CodeCode Available | 1 | 5 |
| Continual Variational Autoencoder Learning via Online Cooperative Memorization | Jul 20, 2022 | Continual LearningDiversity | CodeCode Available | 1 | 5 |
| Early-Learning Regularization Prevents Memorization of Noisy Labels | Jun 30, 2020 | General ClassificationImage Classification | CodeCode Available | 1 | 5 |
| Membership Inference Attacks and Defenses in Neural Network Pruning | Feb 7, 2022 | Inference AttackMembership Inference Attack | CodeCode Available | 1 | 5 |
| Continual Memorization of Factoids in Large Language Models | Nov 11, 2024 | Memorization | CodeCode Available | 1 | 5 |
| Consensual Collaborative Training And Knowledge Distillation Based Facial Expression Recognition Under Noisy Annotations | Jul 10, 2021 | Facial Expression RecognitionFacial Expression Recognition (FER) | CodeCode Available | 1 | 5 |
| MemoChat: Tuning LLMs to Use Memos for Consistent Long-Range Open-Domain Conversation | Aug 16, 2023 | MemorizationRetrieval | CodeCode Available | 1 | 5 |
| Co-teaching: Robust Training of Deep Neural Networks with Extremely Noisy Labels | Apr 18, 2018 | Image ClassificationLearning with noisy labels | CodeCode Available | 1 | 5 |
| Brain tumor segmentation using synthetic MR images -- A comparison of GANs and diffusion models | Jun 5, 2023 | Brain Tumor SegmentationEthics | CodeCode Available | 1 | 5 |
