Papers
Thu 21 Jan 2021
126 papers
- Distilling Large Language Models into Tiny and Effective Students using pQRNNKnowledge distillation → Knowledge distillation for LLMs
- Bridging the gap between Human Action Recognition and Online Action DetectionKnowledge distillation → General knowledge distillation methods
- Collaborative Teacher-Student Learning via Multiple Knowledge TransferKnowledge distillation → General knowledge distillation methods
- Distilling Interpretable Models into Human-Readable CodeKnowledge distillation → General knowledge distillation methods
- PalmTree: Learning an Assembly Language Model for Instruction Embedding
- What we are is more than what we do
- Artificial Intelligence based Sensor Data Analytics Framework for Remote Electricity Network Condition Monitoring
- A Fully Rigorous Proof of the Derivation of Xavier and He's Initialization for Deep ReLU Networks
- Challenges Encountered in Turkish Natural Language Processing Studies
- Online LDA based brain-computer interface system to aid disabled people
- Analysis of Basic Emotions in Texts Based on BERT Vector Representation
- Multimedia Respiratory Database (RespiratoryDatabase@TR): Auscultation Sounds and Chest X-rays
- Three-Dimensional Investigation of the Metric Properties of Parabolic Double Projection Involving Catadioptric Camera
- The Ikshana Hypothesis of Human Scene Understanding
- DataLoc+: A Data Augmentation Technique for Machine Learning in Room-Level Indoor Localization
- Toxicity Detection in Drug Candidates using Simplified Molecular-Input Line-Entry System
- A scalable approach for developing clinical risk prediction applications in different hospitals
- Superiorities of Deep Extreme Learning Machines against Convolutional Neural Networks
- Generative Autoencoder Kernels on Deep Learning for Brain Activity Analysis
- Discrete Choice Analysis with Machine Learning Capabilities
- Analysis of Relation between Motor Activity and Imaginary EEG Records
- Game-Theoretic and Machine Learning-based Approaches for Defensive Deception: A Survey
- Machine Learning Based Early Fire Detection System using a Low-Cost Drone
- Improving prediction of the terrestrial water storage anomalies during the GRACE and GRACE-FO gap with Bayesian convolutional neural networks
- Virtual laser scanning with HELIOS++: A novel take on ray tracing-based simulation of topographic 3D laser scanning
- Analyzing Epistemic and Aleatoric Uncertainty for Drusen Segmentation in Optical Coherence Tomography Images
- Direct Spatial Implementation of Sparse Matrix Multipliers for Reservoir Computing
- Efficient MPI-based Communication for GPU-Accelerated Dask Applications
- Breaking the Deadly Triad with a Target Network
- Knowledge Generation -- Variational Bayes on Knowledge Graphs
- Active Hybrid Classification
- A Spike Learning System for Event-driven Object Recognition
- Occlusion Handling in Generic Object Detection: A Review
- Time-Correlated Sparsification for Communication-Efficient Federated Learning
- SSTVOS: Sparse Spatiotemporal Transformers for Video Object Segmentation
- PyGlove: Symbolic Programming for Automated Machine Learning
- A Person Re-identification Data Augmentation Method with Adversarial Defense Effect
- AI Choreographer: Music Conditioned 3D Dance Generation with AIST++
- Item Recommendation from Implicit Feedback
- GPU-Accelerated Optimizer-Aware Evaluation of Submodular Exemplar Clustering
- How can I choose an explainer? An Application-grounded Evaluation of Post-hoc Explanations
- Expectation-Maximization Regularized Deep Learning for Weakly Supervised Tumor Segmentation for Glioblastoma
- Knowledge-Preserving Incremental Social Event Detection via Heterogeneous GNNs
- Soft Genetic Programming Binary Classifiers
- Model-based Policy Search for Partially Measurable Systems
- Clairvoyant Prefetching for Distributed Machine Learning I/O
- Self-Adaptive Training: Bridging Supervised and Self-Supervised Learning
- Adversarial Machine Learning for Flooding Attacks on 5G Radio Access Network Slicing
- Copycat CNN: Are Random Non-Labeled Data Enough to Steal Knowledge from Black-box Models?
- Cain: Automatic Code Generation for Simultaneous Convolutional Kernels on Focal-plane Sensor-processors
- Multi-sense embeddings through a word sense disambiguation process
- An empirical evaluation of active inference in multi-armed bandits
- Validating Label Consistency in NER Data Annotation
- Sum-Rate-Distortion Function for Indirect Multiterminal Source Coding in Federated Learning
- Characterizing signal propagation to close the performance gap in unnormalized ResNets
- On Lq Convergence of the Hamiltonian Monte Carlo
- Overfitting for Fun and Profit: Instance-Adaptive Data Compression
- ItNet: iterative neural networks with small graphs for accurate, efficient and anytime semantic segmentation
- A two-stage data association approach for 3D Multi-object Tracking
- DAF:re: A Challenging, Crowd-Sourced, Large-Scale, Long-Tailed Dataset For Anime Character Recognition
- Regularization via deep generative models: an analysis point of view
- Geometric Moment Invariants to Motion Blur
- Image-to-Image Translation: Methods and Applications
- Synwalk -- Community Detection via Random Walk Modelling
- Mindless Attractor: A False-Positive Resistant Intervention for Drawing Attention Using Auditory Perturbation
- MPASNET: Motion Prior-Aware Siamese Network for Unsupervised Deep Crowd Segmentation in Video Scenes
- LEAF: A Learnable Frontend for Audio Classification
- Stress Testing of Meta-learning Approaches for Few-shot Learning
- Crossbreeding in Random Forest
- Hierarchical Graph-RNNs for Action Detection of Multiple Activities
- Monitoring nonstationary processes based on recursive cointegration analysis and elastic weight consolidation
- MLPF: Efficient machine-learned particle-flow reconstruction using graph neural networks
- A Note on Connectivity of Sublevel Sets in Deep Learning
- Discovering Multi-Label Actor-Action Association in a Weakly Supervised Setting
- Variable Division and Optimization for Constrained Multiobjective Portfolio Problems
- Customer Price Sensitivities in Competitive Automobile Insurance Markets
- Boost then Convolve: Gradient Boosting Meets Graph Neural Networks
- Activity Graph Transformer for Temporal Action Localization
- Orthogonal Least Squares Based Fast Feature Selection for Linear Classification
- Efficient Pure Exploration for Combinatorial Bandits with Semi-Bandit Feedback
- Eliminate Deviation with Deviation for Data Augmentation and a General Multi-modal Data Learning Method
- Progressive Co-Attention Network for Fine-grained Visual Classification
- GhostSR: Learning Ghost Features for Efficient Image Super-Resolution
- Fast and Robust Certifiable Estimation of the Relative Pose Between Two Calibrated Cameras
- Adv-OLM: Generating Textual Adversaries via OLM
- Out-of-Distribution Generalization Analysis via Influence Function
- Pre-training without Natural Images
- Content-Based Textual File Type Detection at Scale
- Boosting in Univariate Nonparametric Maximum Likelihood Estimation
- Weighted Fuzzy-Based PSNR for Watermarking
- Estimating Average Treatment Effects via Orthogonal Regularization
- Differential Euler: Designing a Neural Network approximator to solve the Chaotic Three Body Problem
- Exponential Moving Average Normalization for Self-supervised and Semi-supervised Learning
- Unifying Cardiovascular Modelling with Deep Reinforcement Learning for Uncertainty Aware Control of Sepsis Treatment
- CM-NAS: Cross-Modality Neural Architecture Search for Visible-Infrared Person Re-Identification
- Anti-UAV: A Large Multi-Modal Benchmark for UAV Tracking
- FWB-Net:Front White Balance Network for Color Shift Correction in Single Image Dehazing via Atmospheric Light Estimation
- COLLIDE-PRED: Prediction of On-Road Collision From Surveillance Videos
- Segmenting Transparent Object in the Wild with Transformer
- Fire Threat Detection From Videos with Q-Rough Sets
All 126
- UNIT: Unifying Tensorized Instruction Compilation
- Arabic Speech Recognition by End-to-End, Modular Systems and Human
- Robust Reinforcement Learning on State Observations with Learned Optimal Adversary
- Ensemble learning and iterative training (ELIT) machine learning: applications towards uncertainty quantification and automated experiment in atom-resolved microscopy
- Noisy intermediate-scale quantum (NISQ) algorithms
- All-Day Object Tracking for Unmanned Aerial Vehicle
- Learning based signal detection for MIMO systems with unknown noise statistics
- Video Summarization: Study of various techniques
- Generative Zero-shot Network Quantization
- Analysis of Information Flow Through U-Nets
- Content Selection Network for Document-grounded Retrieval-based Chatbots
- Optimal Full Ranking from Pairwise Comparisons
- Rethinking Semantic Segmentation Evaluation for Explainability and Model Selection
- Finger Vein Recognition by Generating Code
- MoDL-QSM: Model-based Deep Learning for Quantitative Susceptibility Mapping
- Blocked and Hierarchical Disentangled Representation From Information Theory Perspective
- TDA-Net: Fusion of Persistent Homology and Deep Learning Features for COVID-19 Detection in Chest X-Ray Images
- Deep Reinforcement Learning with Spatio-temporal Traffic Forecasting for Data-Driven Base Station Sleep Control
- An Information-Theoretic Analysis of the Impact of Task Similarity on Meta-Learning
- A Survey on Ensemble Learning under the Era of Deep Learning
- Invariance, encodings, and generalization: learning identity effects with neural networks
- Motif Identification using CNN-based Pairwise Subsequence Alignment Score Prediction
- ParaSCI: A Large Scientific Paraphrase Dataset for Longer Paraphrase Generation
- Better Short than Greedy: Interpretable Models through Optimal Rule Boosting
- Finite Model Theory of the Triguarded Fragment and Related Logics
- Evaluating Multilingual Text Encoders for Unsupervised Cross-Lingual Retrieval