Papers
Fri 4 Nov 2022
148 papers
- Deconfounding Imitation Learning with Variational InferenceOffline RL and imitation learning from data → Imitation learning methods
- Cold Diffusion for Speech EnhancementDiffusion models → Audio, speech and music
- NoreSpeech: Knowledge Distillation based Conditional Diffusion Model for Noise-robust Expressive TTSDiffusion models → Audio, speech and music
- Rickrolling the Artist: Injecting Backdoors into Text Encoders for Text-to-Image SynthesisLLM safety and security → Backdoor and data poisoning attacks
- Analysing Diffusion-based Generative Approaches versus Discriminative Approaches for Speech RestorationDiffusion models → Audio, speech and music
- Unintended Memorization and Timing Attacks in Named Entity Recognition ModelsLLM safety and security → Membership inference attacks
- Understanding and Mitigating Overfitting in Prompt Tuning for Vision-Language ModelsMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- Towards Fast Single-Trial Online ERP based Brain-Computer Interface using dry EEG electrodes and neural networks: a pilot study
- Deep learning for structural health monitoring: An application to heritage structures
- Large Scale Radio Frequency Wideband Signal Detection & Recognition
- Behavior Score-Embedded Brain Encoder Network for Improved Classification of Alzheimer Disease Using Resting State fMRI
- BERT-Deep CNN: State-of-the-Art for Sentiment Analysis of COVID-19 Tweets
- Extending Logic Explained Networks to Text Classification
- Stutter-TTS: Controlled Synthesis and Improved Recognition of Stuttered Speech
- Federated Multilingual Models for Medical Transcript Analysis
- Tutorial and Practice in Linear Programming: Optimization Problems in Supply Chain and Transport Logistics
- Fraudulent User Detection Via Behavior Information Aggregation Network (BIAN) On Large-Scale Financial Social Network
- Learning to Learn Domain-invariant Parameters for Domain Generalization
- Fairness-aware Regression Robust to Adversarial Attacks
- DAD vision: opto-electronic co-designed computer vision with division adjoint method
- CASA: Category-agnostic Skeletal Animal Reconstruction
- An approach to standardize, automate omni-channel and AI transactional digital service creation
- Multi-blank Transducers for Speech Recognition
- Measuring Progress on Scalable Oversight for Large Language Models
- Near-optimal multiple testing in Bayesian linear models with finite-sample FDR control
- Quantitative Assessment of Drought Impacts Using XGBoost based on the Drought Impact Reporter
- Clustering above Exponential Families with Tempered Exponential Measures
- Bayesian learning of Causal Structure and Mechanisms with GFlowNets and Variational Bayes
- Development and evaluation of automated localisation and reconstruction of all fruits on tomato plants in a greenhouse based on multi-view perception and 3D multi-object tracking
- Diversity-based Deep Reinforcement Learning Towards Multidimensional Difficulty for Fighting Game AI
- The Tensor Data Platform: Towards an AI-centric Database System
- KGLM: Integrating Knowledge Graph Structure in Language Models for Link Prediction
- Intriguing Properties of Compression on Multilingual Models
- Discovering Closed-Loop Failures of Vision-Based Controllers via Reachability Analysis
- GLOBEM Dataset: Multi-Year Datasets for Longitudinal Human Behavior Modeling Generalization
- Multi-Fidelity Cost-Aware Bayesian Optimization
- Uncertainty-aware predictive modeling for fair data-driven decisions
- 1Cademy @ Causal News Corpus 2022: Leveraging Self-Training in Causality Classification of Socio-Political Event Data
- Deep Surrogate Docking: Accelerating Automated Drug Discovery with Graph Neural Networks
- SAMO: Speaker Attractor Multi-Center One-Class Learning for Voice Anti-Spoofing
- NLP Inspired Training Mechanics For Modeling Transient Dynamics
- Resource-Efficient Transfer Learning From Speech Foundation Model Using Hierarchical Feature Fusion
- Contrastive Learning for Diverse Disentangled Foreground Generation
- Online Learning and Bandits with Queried Hints
- MONAI: An open-source framework for deep learning in healthcare
- Achieving mouse-level strategic evasion performance using real-time computational planning
- MalGrid: Visualization Of Binary Features In Large Malware Corpora
- WaveNets: Wavelet Channel Attention Networks
- LightNorm: Area and Energy-Efficient Batch Normalization Hardware for On-Device DNN Training
- Climbing Routes Clustering Using Energy-Efficient Accelerometers Attached to the Quickdraws
- An Adversarial Robustness Perspective on the Topology of Neural Networks
- De novo PROTAC design using graph-based deep generative models
- Dealing with Drift of Adaptation Spaces in Learning-based Self-Adaptive Systems using Lifelong Self-Adaptation
- Robustness of Fusion-based Multimodal Classifiers to Cross-Modal Content Dilutions
- A Transformer Architecture for Online Gesture Recognition of Mathematical Expressions
- A Theoretical Study on Solving Continual Learning
- Reservoir Computing via Quantum Recurrent Neural Networks
- Improving the Predictive Performances of k Nearest Neighbors Learning by Efficient Variable Selection
- Modeling Temporal Data as Continuous Functions with Stochastic Process Diffusion
- Evaluating and Improving Factuality in Multimodal Abstractive Summarization
- Data Models for Dataset Drift Controls in Machine Learning With Optical Images
- CCATMos: Convolutional Context-aware Transformer Network for Non-intrusive Speech Quality Assessment
- The 'Problem' of Human Label Variation: On Ground Truth in Data, Modeling and Evaluation
- scikit-fda: A Python Package for Functional Data Analysis
- A Comparison of SVM against Pre-trained Language Models (PLMs) for Text Classification Tasks
- A Data-Driven Slip Estimation Approach for Effective Braking Control under Varying Road Conditions
- GoRela: Go Relative for Viewpoint-Invariant Motion Forecasting
- Self-Supervised Learning for Speech Enhancement through Synthesis
- Generation of Chinese classical poetry based on pre-trained model
- Machine Learning Challenges of Biological Factors in Insect Image Data
- Biased Self-supervised learning for ASR
- A Transformer-Based Substitute Recommendation Model Incorporating Weakly Supervised Customer Behavior Data
- Automatic classification of deformable shapes
- BERT for Long Documents: A Case Study of Automated ICD Coding
- Geometry-Complete Perceptron Networks for 3D Molecular Graphs
- Weisfeiler and Leman go Hyperbolic: Learning Distance Preserving Node Representations
- A Weakly-Supervised Streaming Multilingual Speech Model with Truly Zero-Shot Capability
- Flows for Flows: Training Normalizing Flows Between Arbitrary Distributions with Maximum Likelihood Estimation
- Decorrelation with conditional normalizing flows
- Continuous Prompt Tuning Based Textual Entailment Model for E-commerce Entity Typing
- Concentration inequalities for leave-one-out cross validation
- SMAuC -- The Scientific Multi-Authorship Corpus
- Sparse Gaussian Process Hyperparameters: Optimize or Integrate?
- Generalizability of Deep Adult Lung Segmentation Models to the Pediatric Population: A Retrospective Study
- Improving Adversarial Robustness to Sensitivity and Invariance Attacks with Deep Metric Learning
- Multi-output Gaussian processes for inverse uncertainty quantification in neutron noise analysis
- PCQA-GRAPHPOINT: Efficients Deep-Based Graph Metric For Point Cloud Quality Assessment
- Changing agents and ascribing beliefs in dynamic epistemic logic
- RCDPT: Radar-Camera fusion Dense Prediction Transformer
- Dealing with Abbreviations in the Slovenian Biographical Lexicon
- CLSE: Corpus of Linguistically Significant Entities
- Spatially Selective Deep Non-linear Filters for Speaker Extraction
- High-Resolution Boundary Detection for Medical Image Segmentation with Piece-Wise Two-Sample T-Test Augmented Loss
- Rethinking the transfer learning for FCN based polyp segmentation in colonoscopy
- Multilingual Name Entity Recognition and Intent Classification Employing Deep Learning Architectures
- Emergent Quantized Communication
- Tensor Robust PCA with Nonconvex and Nonlocal Regularization
- The Path to Autonomous Learners
- Fighting the scanner effect in brain MRI segmentation with a progressive level-of-detail network trained on multi-site data
- Rethinking the positive role of cluster structure in complex networks for link prediction tasks
All 148
- Patch DCT vs LeNet
- PP-YOLOE-R: An Efficient Anchor-Free Rotated Object Detector
- Black-box Coreset Variational Inference
- Conformal Quantitative Predictive Monitoring of STL Requirements for Stochastic Processes
- SPEAKER VGG CCT: Cross-corpus Speech Emotion Recognition with Speaker Embedding and Vision Transformers
- Neural RELAGGS
- A General Purpose Neural Architecture for Geospatial Systems
- UV R-CNN: Stable and Efficient Dense Human Pose Estimation
- Minimum Latency Training of Sequence Transducers for Streaming End-to-End Speech Recognition
- Once-for-All Sequence Compression for Self-Supervised Speech Models
- OSIC: A New One-Stage Image Captioner Coined
- Spatial-Temporal Convolutional Attention for Mapping Functional Brain Networks
- Domain Adaptive Video Semantic Segmentation via Cross-Domain Moving Object Mixing
- MultiWOZ-DF -- A Dataflow implementation of the MultiWOZ dataset
- Binaural Rendering of Ambisonic Signals by Neural Networks
- Elimination of Non-Novel Segments at Multi-Scale for Few-Shot Segmentation
- GARNet: Global-Aware Multi-View 3D Reconstruction Network and the Cost-Performance Tradeoff
- Decentralized Federated Reinforcement Learning for User-Centric Dynamic TFDD Control
- Boosting Binary Neural Networks via Dynamic Thresholds Learning
- SelecMix: Debiased Learning by Contradicting-pair Sampling
- Unsupervised Visual Representation Learning via Mutual Information Regularized Assignment
- An Efficient FPGA-based Accelerator for Deep Forest
- A Deep Learning Approach to Generating Photospheric Vector Magnetograms of Solar Active Regions for SOHO/MDI Using SDO/HMI and BBSO Data
- Time series quantile regression using random forests
- Logits are predictive of network type
- Late Fusion with Triplet Margin Objective for Multimodal Ideology Prediction and Analysis
- Impact Learning: A Learning Method from Features Impact and Competition
- Seismic-phase detection using multiple deep learning models for global and local representations of waveforms
- ISA-Net: Improved spatial attention network for PET-CT tumor segmentation
- Spectral Regularization: an Inductive Bias for Sequence Modeling
- How Does Adaptive Optimization Impact Local Neural Network Geometry?
- Real-Time Target Sound Extraction
- Music Mixing Style Transfer: A Contrastive Learning Approach to Disentangle Audio Effects
- Towards Asteroid Detection in Microlensing Surveys with Deep Learning
- Materials Property Prediction with Uncertainty Quantification: A Benchmark Study
- A Latent Space Model for HLA Compatibility Networks in Kidney Transplantation
- Improved Adaptive Algorithm for Scalable Active Learning with Weak Labeler
- Residual Skill Policies: Learning an Adaptable Skill-based Action Space for Reinforcement Learning for Robotics
- Adversarial Defense via Neural Oscillation inspired Gradient Masking
- The Benefits of Model-Based Generalization in Reinforcement Learning
- Fully Bayesian inference for latent variable Gaussian process models
- SSDA-YOLO: Semi-supervised Domain Adaptive YOLO for Cross-Domain Object Detection
- Distributed Linear Bandits under Communication Constraints
- Soft Masking for Cost-Constrained Channel Pruning
- Learning Tool Morphology for Contact-Rich Manipulation Tasks with Differentiable Simulation
- Miko Team: Deep Learning Approach for Legal Question Answering in ALQAC 2022
- Learning to Rank Graph-based Application Objects on Heterogeneous Memories
- Benchmarking Quality-Diversity Algorithms on Neuroevolution for Reinforcement Learning