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Foundations & Efficiency

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Showing 110 of 10 papers

TitleStatusHype
NeuroXAI: Adaptive, robust, explainable surrogate framework for determination of channel importance in EEG applicationCode1
Efficient Deployment of Spiking Neural Networks on SpiNNaker2 for DVS Gesture Recognition Using Neuromorphic Intermediate RepresentationCode0
Visual-Language Model Knowledge Distillation Method for Image Quality Assessment0
Multi-Strategy Improved Snake Optimizer Accelerated CNN-LSTM-Attention-Adaboost for Trajectory Prediction0
LINR-PCGC: Lossless Implicit Neural Representations for Point Cloud Geometry Compression0
Missing value imputation with adversarial random forests -- MissARF0
Touch in the Wild: Learning Fine-Grained Manipulation with a Portable Visuo-Tactile Gripper0
Visual Place Recognition for Large-Scale UAV Applications0
Language Integration in Fine-Tuning Multimodal Large Language Models for Image-Based Regression0
Hear Your Code Fail, Voice-Assisted Debugging for Python0
Show:102550
TaskPapersResults
Partial Label Learning8512
Representation Learning

Representation Learning is a process in machine learning whe…

10,58011
AutoML

Automated Machine Learning (AutoML) is a general concept whi…

64111
Sparse Learning18511
Type prediction9611
ValNov

Given a textual premise and conclusion candidate, the Argume…

211
Transfer Learning

Transfer Learning is a machine learning technique where a mo…

10,30710
Fairness5,67610
parameter-efficient fine-tuning

Parameter-Efficient Fine-Tuning (PEFT) is a technique used t…

93510
Event data classification1210
Adversarial Attack

An Adversarial Attack is a technique to find a perturbation …

1,8089
Prediction Of Occupancy Grid Maps79
Unsupervised Pre-training

Pre-training a neural network using unsupervised (self-super…

2658
Data-free Knowledge Distillation758
Length-of-Stay prediction288
Concept-based Classification

Image classification using human-interpretable concepts

18
lidar absolute pose regression18
Active Learning

Active Learning is a paradigm in supervised machine learning…

3,0737
Prediction8,7606
Dimensionality Reduction

Dimensionality reduction is the task of reducing the dimensi…

3,3046
Compressive Sensing

Compressive Sensing is a new signal processing framework for…

5976
Link Sign Prediction216
answerability prediction96
Transferability66
Multi-class Classification

Multi-class classification is a type of supervised learning …

9035
Two-sample testing

In statistical hypothesis testing, a two-sample test is a te…

3385
Deep Clustering3075
Noise Estimation1145
Holdout Set355
Skills Evaluation105
Reconstruction25
Few-Shot Transfer Learning for Saliency Prediction

Saliency prediction aims to predict important locations in a…

15
SSIM1,3364
Imputation

Substituting missing data with values according to some crit…

1,2374
Inductive logic programming1534
Scanpath prediction

Learning to Predict Sequences of Human Fixations.

344
Nature-Inspired Optimization Algorithm54
Partially View-aligned Multi-view Learning

In multi-view learning, Partially View-aligned Problem (PVP)…

14
Memorization1,0883
Bilevel Optimization

Bilevel Optimization is a branch of optimization, which cont…

4233
Continual Pretraining703
Novel Class Discovery

The goal of Novel Class Discovery (NCD) is to identify new c…

653
Rotated MNIST413
Pain Intensity Regression53
Human Judgment Classification

A task where an algorithm judges which sample is better in a…

23
Decision Making12,3112
Benchmarking5,5482
Bayesian Inference

Bayesian Inference is a methodology that employs Bayes Rule …

2,2262
Multi-Armed Bandits

Multi-armed bandits refer to a task where a fixed amount of …

1,2622
Quantum Machine Learning6992