Papers
Sun 31 Oct 2021
75 papers
- Rethinking the Knowledge Distillation From the Perspective of Model CalibrationKnowledge distillation → Knowledge distillation for LLMs
- Efficient passive membership inference attack in federated learningLLM safety and security → Federated unlearning and poisoning
- Efficiently Modeling Long Sequences with Structured State SpacesState-space sequence models (S4, Mamba) → Core SSM architectures for language
- Creating A Coefficient of Change in the Built Environment After a Natural Disaster
- Predicting Cancer Using Supervised Machine Learning: Mesothelioma
- Classifying YouTube Comments Based on Sentiment and Type of Sentence
- Progressive observation of Covid-19 vaccination effects on skin-cellular structures by use of Intelligent Laser Speckle Classification (ILSC)
- Hierarchical Decision Ensembles- An inferential framework for uncertain Human-AI collaboration in forensic examinations
- Distantly Supervised Semantic Text Detection and Recognition for Broadcast Sports Videos Understanding
- Intrusion Detection using Spatial-Temporal features based on Riemannian Manifold
- Deep Recursive Embedding for High-Dimensional Data
- Clinical Evidence Engine: Proof-of-Concept For A Clinical-Domain-Agnostic Decision Support Infrastructure
- PIE: Pseudo-Invertible Encoder
- R-BERT-CNN: Drug-target interactions extraction from biomedical literature
- Towards Language Modelling in the Speech Domain Using Sub-word Linguistic Units
- A Systematic Investigation of Commonsense Knowledge in Large Language Models
- Graph Embedding with Hierarchical Attentive Membership
- Explainable Artificial Intelligence for Smart City Application: A Secure and Trusted Platform
- Minimum Description Length Recurrent Neural Networks
- Bayesian optimization of distributed neurodynamical controller models for spatial navigation
- The 5th Recognizing Families in the Wild Data Challenge: Predicting Kinship from Faces
- TorchXRayVision: A library of chest X-ray datasets and models
- Unsupervised Learning to Subphenotype Delirium Patients from Electronic Health Records
- Laplacian Constrained Precision Matrix Estimation: Existence and High Dimensional Consistency
- A Tensor SVD-based Classification Algorithm Applied to fMRI Data
- JEDAI: A System for Skill-Aligned Explainable Robot Planning
- Text Classification for Task-based Source Code Related Questions
- What Went Wrong? Explaining Overall Dialogue Quality through Utterance-Level Impacts
- An Approach to Inference-Driven Dialogue Management within a Social Chatbot
- Can we learn gradients by Hamiltonian Neural Networks?
- Revealing and Protecting Labels in Distributed Training
- Quality Estimation Using Round-trip Translation with Sentence Embeddings
- Policy Optimization for Constrained MDPs with Provable Fast Global Convergence
- Learning to Detect Open Carry and Concealed Object with 77GHz Radar
- Template Filling for Controllable Commonsense Reasoning
- From Face to Gait: Weakly-Supervised Learning of Gender Information from Walking Patterns
- Focal Attention Networks: optimising attention for biomedical image segmentation
- Incorporating Boundary Uncertainty into loss functions for biomedical image segmentation
- Learning Debiased and Disentangled Representations for Semantic Segmentation
- Calibrating the Dice loss to handle neural network overconfidence for biomedical image segmentation
- FinEAS: Financial Embedding Analysis of Sentiment
- Classification of fetal compromise during labour: signal processing and feature engineering of the cardiotocograph
- Visualization: the missing factor in Simultaneous Speech Translation
- Automated Hyperparameter Optimization Challenge at CIKM 2021 AnalyticCup
- DRBANET: A Lightweight Dual-Resolution Network for Semantic Segmentation with Boundary Auxiliary
- Fully convolutional Siamese neural networks for buildings damage assessment from satellite images
- PnPOOD : Out-Of-Distribution Detection for Text Classification via Plug andPlay Data Augmentation
- DPNET: Dual-Path Network for Efficient Object Detectioj with Lightweight Self-Attention
- DSC-IITISM at FinCausal 2021: Combining POS tagging with Attention-based Contextual Representations for Identifying Causal Relationships in Financial Documents
- Smart(Sampling)Augment: Optimal and Efficient Data Augmentation for Semantic Segmentation
- Learned Image Compression with Separate Hyperprior Decoders
- IGCN: Image-to-graph Convolutional Network for 2D/3D Deformable Registration
- Efficient, Anytime Algorithms for Calibration with Isotonic Regression under Strictly Convex Losses
- DAdaQuant: Doubly-adaptive quantization for communication-efficient Federated Learning
- FastCover: An Unsupervised Learning Framework for Multi-Hop Influence Maximization in Social Networks
- Graph Neural Network based scheduling : Improved throughput under a generalized interference model
- Gaussian Kernel Mixture Network for Single Image Defocus Deblurring
- Loop closure detection using local 3D deep descriptors
- Decentralized Multi-Agent Reinforcement Learning: An Off-Policy Method
- An Actor-Critic Method for Simulation-Based Optimization
- Using Google Trends as a proxy for occupant behavior to predict building energy consumption
- All-In-One: Artificial Association Neural Networks
- Interpreting Deep Knowledge Tracing Model on EdNet Dataset
- Deep Learning in Human Activity Recognition with Wearable Sensors: A Review on Advances
- Hierarchical Deep Residual Reasoning for Temporal Moment Localization
- Safe Adaptive Learning-based Control for Constrained Linear Quadratic Regulators with Regret Guarantees
- PANet: Perspective-Aware Network with Dynamic Receptive Fields and Self-Distilling Supervision for Crowd Counting
- Speech Emotion Recognition Using Quaternion Convolutional Neural Networks
- FANS: Fusing ASR and NLU for on-device SLU
- A Simple Approach to Image Tilt Correction with Self-Attention MobileNet for Smartphones
- A robust single-pixel particle image velocimetry based on fully convolutional networks with cross-correlation embedded
- Dual Attention Network for Heart Rate and Respiratory Rate Estimation
- EfficientWord-Net: An Open Source Hotword Detection Engine based on One-shot Learning
- Conical Classification For Computationally Efficient One-Class Topic Determination
- Revisiting joint decoding based multi-talker speech recognition with DNN acoustic model