Papers in this area
Showing 1–10 of 10 papers
| Task | Papers | Results |
|---|---|---|
| Pathfinder-X | 2 | 0 |
| Scale Generalisation Scale generalisation implies that learning is performed at s… | 2 | 0 |
| Sensitivity Classification Automatically identifying if a text document in a collection… | 2 | 0 |
| 2-task Classification | 1 | 0 |
| Add - PO | 1 | 0 |
| Add - PQ | 1 | 0 |
| Adversarial Defense against AutoAttack | 1 | 0 |
| Adversarial Defense against PGD | 1 | 0 |
| Artificial Global Workspace | 1 | 0 |
| Avg. sequence length | 1 | 0 |
| Backdoor Defense for Data-Free Distillation with Poisoned Teachers Defend against backdoor attack from poisoned teachers. | 1 | 0 |
| Clean-label Backdoor Attack (0.024%) | 1 | 0 |
| Clean-label Backdoor Attack (0.05%) | 1 | 0 |
| Cyber Attack Investigation | 1 | 0 |
| Data Imputation 70% | 1 | 0 |
| Dataset Size Recovery The task dataset size recovery aims to determine the number … | 1 | 0 |
| Deep Nonparametric Clustering Clustering using deep learning models, when the number of cl… | 1 | 0 |
| (deleted task 2) 9kboss customer care number 9626321456call | 1 | 0 |
| Fixed Few Shot Prompting | 1 | 0 |
| Fixed Few Shot Prompting Danger Assessment | 1 | 0 |
| GLinear It is a simpler model; it is not made up of any complex comp… | 1 | 0 |
| Incremental Constrained Clustering The goal is to improve a base partition of a dataset by iter… | 1 | 0 |
| Line Items Extraction Given a document, extract all of the tables in the document … | 1 | 0 |
| LWR Classification T4: LWR Classification: Predicting if the subject is Listeni… | 1 | 0 |
| Metric-Type Identification | 1 | 0 |
| Misclassification Rate - Natural Adversarial Samples Misclassification Rate by Natural Adversarial Samples | 1 | 0 |
| Model Posioning | 1 | 0 |
| Multi-Loss Function Penalizing | 1 | 0 |
| Multi-Stage Campaigning Optimization | 1 | 0 |
| multi-word expression embedding Learn embeddings for multi-word expressions | 1 | 0 |
| NONPARAMETRIC DEEP CLUSTERING Deep Nonparametric clustering are methods which utilize deep… | 1 | 0 |
| No real Data Binarization | 1 | 0 |
| One-shot model fusion Fusing different neural networks into a single network in on… | 1 | 0 |
| Online nonnegative CP decomposition | 1 | 0 |
| Optimize the trajectory of UAV which plays a BS in communication system | 1 | 0 |
| Phrase Vector Embedding Just like the generation of word (1-gram) vector embedding, … | 1 | 0 |
| Pre-Fine-Tuning Weight Recovery The goal is to recover the Pre-Fine-Tuning weights of a give… | 1 | 0 |
| PSO-ConvNets Dynamics 1 Incorporating distilled Cucker-Smale elements into PSO algor… | 1 | 0 |
| PSO-ConvNets Dynamics 2 Incorporating distilled Cucker-Smale elements into PSO algor… | 1 | 0 |
| Sequential Distribution Function Estimation | 1 | 0 |
| Setting-1/2 | 1 | 0 |
| Setting-1/4 | 1 | 0 |
| ST-MoE-L 4.1B (fine-tuned) | 1 | 0 |
| Tiling & Deployment Data tiling over 3 memory hierarchy levels and deployment on… | 1 | 0 |
| UNET Quantization | 1 | 0 |
| wavelet structure similarity loss | 1 | 0 |
| Word Attribute Transfer Changing a word's attribute, such as its gender. | 1 | 0 |
| Aggregate xView3 Metric The aggregate xView3 metric is the combination of five metri… | 0 | 0 |
| Crashworthiness optimisation | 0 | 0 |