Picture for Rana Ali Amjad

Rana Ali Amjad

Context-Aware Clustering using Large Language Models

Add code
May 02, 2024
Viaarxiv icon

Neural Augmentation of Kalman Filter with Hypernetwork for Channel Tracking

Add code
Sep 26, 2021
Figure 1 for Neural Augmentation of Kalman Filter with Hypernetwork for Channel Tracking
Figure 2 for Neural Augmentation of Kalman Filter with Hypernetwork for Channel Tracking
Figure 3 for Neural Augmentation of Kalman Filter with Hypernetwork for Channel Tracking
Figure 4 for Neural Augmentation of Kalman Filter with Hypernetwork for Channel Tracking
Viaarxiv icon

A White Paper on Neural Network Quantization

Add code
Jun 15, 2021
Figure 1 for A White Paper on Neural Network Quantization
Figure 2 for A White Paper on Neural Network Quantization
Figure 3 for A White Paper on Neural Network Quantization
Figure 4 for A White Paper on Neural Network Quantization
Viaarxiv icon

Bayesian Bits: Unifying Quantization and Pruning

Add code
May 15, 2020
Figure 1 for Bayesian Bits: Unifying Quantization and Pruning
Figure 2 for Bayesian Bits: Unifying Quantization and Pruning
Figure 3 for Bayesian Bits: Unifying Quantization and Pruning
Figure 4 for Bayesian Bits: Unifying Quantization and Pruning
Viaarxiv icon

Up or Down? Adaptive Rounding for Post-Training Quantization

Add code
Apr 22, 2020
Figure 1 for Up or Down? Adaptive Rounding for Post-Training Quantization
Figure 2 for Up or Down? Adaptive Rounding for Post-Training Quantization
Figure 3 for Up or Down? Adaptive Rounding for Post-Training Quantization
Figure 4 for Up or Down? Adaptive Rounding for Post-Training Quantization
Viaarxiv icon

Class-Conditional Compression and Disentanglement: Bridging the Gap between Neural Networks and Naive Bayes Classifiers

Add code
Jun 06, 2019
Viaarxiv icon

Learning Representations for Neural Network-Based Classification Using the Information Bottleneck Principle

Add code
Jul 12, 2018
Figure 1 for Learning Representations for Neural Network-Based Classification Using the Information Bottleneck Principle
Figure 2 for Learning Representations for Neural Network-Based Classification Using the Information Bottleneck Principle
Figure 3 for Learning Representations for Neural Network-Based Classification Using the Information Bottleneck Principle
Viaarxiv icon

Co-Clustering via Information-Theoretic Markov Aggregation

Add code
Jun 15, 2018
Figure 1 for Co-Clustering via Information-Theoretic Markov Aggregation
Figure 2 for Co-Clustering via Information-Theoretic Markov Aggregation
Figure 3 for Co-Clustering via Information-Theoretic Markov Aggregation
Figure 4 for Co-Clustering via Information-Theoretic Markov Aggregation
Viaarxiv icon

Understanding Individual Neuron Importance Using Information Theory

Add code
Apr 18, 2018
Figure 1 for Understanding Individual Neuron Importance Using Information Theory
Figure 2 for Understanding Individual Neuron Importance Using Information Theory
Figure 3 for Understanding Individual Neuron Importance Using Information Theory
Figure 4 for Understanding Individual Neuron Importance Using Information Theory
Viaarxiv icon

Clustering with Simultaneous Local and Global View of Data: A message passing based approach

Add code
Mar 12, 2018
Figure 1 for Clustering with Simultaneous Local and Global View of Data: A message passing based approach
Figure 2 for Clustering with Simultaneous Local and Global View of Data: A message passing based approach
Figure 3 for Clustering with Simultaneous Local and Global View of Data: A message passing based approach
Figure 4 for Clustering with Simultaneous Local and Global View of Data: A message passing based approach
Viaarxiv icon