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Found 5 papers, 2 papers with code
Capsule Neural Networks as Noise Stabilizer for Time Series Data
In this paper, we investigate the effectiveness of CapsNets in analyzing highly sensitive and noisy time series sensor data.
ERBench: An Entity-Relationship based Automatically Verifiable Hallucination Benchmark for Large Language Models
Our key idea is to construct questions using the database schema, records, and functional dependencies such that they can be automatically verified.
DaG LLM ver 1.0: Pioneering Instruction-Tuned Language Modeling for Korean NLP
This paper presents the DaG LLM (David and Goliath Large Language Model), a language model specialized for Korean and fine-tuned through Instruction Tuning across 41 tasks within 13 distinct categories.
Vision Transformer Equipped with Neural Resizer on Facial Expression Recognition Task
When it comes to wild conditions, Facial Expression Recognition is often challenged with low-quality data and imbalanced, ambiguous labels.
Facial Expression Recognition
Facial Expression Recognition (FER)
+1
Conditional Temporal Neural Processes with Covariance Loss
We introduce a novel loss function, Covariance Loss, which is conceptually equivalent to conditional neural processes and has a form of regularization so that is applicable to many kinds of neural networks.
Ranked #1 on
Time Series Forecasting
on PeMSD7
