Papers
Wed 26 Jan 2022
141 papers
- TrustAL: Trustworthy Active Learning using Knowledge DistillationKnowledge distillation → General knowledge distillation methods
- Adaptive Instance Distillation for Object Detection in Autonomous DrivingKnowledge distillation → Detection and dense prediction distillation
- Learning to Compose Diversified Prompts for Image Emotion ClassificationMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- One Student Knows All Experts Know: From Sparse to DenseMixture-of-experts → Vision mixture-of-experts +1
- Anomaly Detection via Reverse Distillation from One-Class EmbeddingKnowledge distillation → Detection and dense prediction distillation
- Machine Learning for Stock Prediction Based on Fundamental Analysis
- Automated Atrial Fibrillation Classification Based on Denoising Stacked Autoencoder and Optimized Deep Network
- Neural Network based Inter bi-prediction Blending
- Computer sciences and synthesis: retrospective and perspective
- FiNCAT: Financial Numeral Claim Analysis Tool
- Closing the sim-to-real gap in guided wave damage detection with adversarial training of variational auto-encoders
- Arrhythmia Classification using CGAN-augmented ECG Signals
- Stochastic 2D Signal Generative Model with Wavelet Packets Basis Regarded as a Random Variable and Bayes Optimal Processing
- An Assessment of the Impact of OCR Noise on Language Models
- Learning Invariable Semantical Representation from Language for Extensible Policy Generalization
- Handling Bias in Toxic Speech Detection: A Survey
- Probe-Based Interventions for Modifying Agent Behavior
- Speckle-based optical cryptosystem and its application for human face recognition via deep learning
- Discriminative Supervised Subspace Learning for Cross-modal Retrieval
- Team Yao at Factify 2022: Utilizing Pre-trained Models and Co-attention Networks for Multi-Modal Fact Verification
- MeltpoolNet: Melt pool Characteristic Prediction in Metal Additive Manufacturing Using Machine Learning
- LAGOON: An Analysis Tool for Open Source Communities
- Internal Language Model Estimation Through Explicit Context Vector Learning for Attention-based Encoder-decoder ASR
- Gap Minimization for Knowledge Sharing and Transfer
- Objective Prediction of Tomorrow's Affect Using Multi-Modal Physiological Data and Personal Chronicles: A Study of Monitoring College Student Well-being in 2020
- Continuous Examination by Automatic Quiz Assessment Using Spiral Codes and Image Processing
- Synchromesh: Reliable code generation from pre-trained language models
- Online Change Point Detection for Weighted and Directed Random Dot Product Graphs
- DiGamma: Domain-aware Genetic Algorithm for HW-Mapping Co-optimization for DNN Accelerators
- DNNFuser: Generative Pre-Trained Transformer as a Generalized Mapper for Layer Fusion in DNN Accelerators
- Learning Mixtures of Linear Dynamical Systems
- On The Energy Statistics of Feature Maps in Pruning of Neural Networks with Skip-Connections
- Discovering Phonetic Inventories with Crosslingual Automatic Speech Recognition
- Reward-Free RL is No Harder Than Reward-Aware RL in Linear Markov Decision Processes
- Generative Trees: Adversarial and Copycat
- On the Convergence of mSGD and AdaGrad for Stochastic Optimization
- Challenges and Opportunities for Machine Learning Classification of Behavior and Mental State from Images
- IMACS: Image Model Attribution Comparison Summaries
- Attention cannot be an Explanation
- ReforesTree: A Dataset for Estimating Tropical Forest Carbon Stock with Deep Learning and Aerial Imagery
- Crystal structure prediction with machine learning-based element substitution
- DIREG3D: DIrectly REGress 3D Hands from Multiple Cameras
- A dual approach for federated learning
- Hyperparameter Tuning for Deep Reinforcement Learning Applications
- DiscoScore: Evaluating Text Generation with BERT and Discourse Coherence
- Tackling data scarcity in speech translation using zero-shot multilingual machine translation techniques
- First-Order Context-Specific Likelihood Weighting in Hybrid Probabilistic Logic Programs
- Self-Certifying Classification by Linearized Deep Assignment
- Explainable Patterns for Distinction and Prediction of Moral Judgement on Reddit
- Addressing Issues of Cross-Linguality in Open-Retrieval Question Answering Systems For Emergent Domains
- Born-Infeld (BI) for AI: Energy-Conserving Descent (ECD) for Optimization
- Inference-optimized AI and high performance computing for gravitational wave detection at scale
- Cybertrust: From Explainable to Actionable and Interpretable AI (AI2)
- CsFEVER and CTKFacts: Acquiring Czech data for fact verification
- Natural Language Descriptions of Deep Visual Features
- Post-training Quantization for Neural Networks with Provable Guarantees
- A probabilistic latent variable model for detecting structure in binary data
- Combining Optimal Path Search With Task-Dependent Learning in a Neural Network
- Auto-Compressing Subset Pruning for Semantic Image Segmentation
- Self-attention fusion for audiovisual emotion recognition with incomplete data
- SCAI-QReCC Shared Task on Conversational Question Answering
- Self-Attention Neural Bag-of-Features
- Momentum Capsule Networks
- Understanding and Compressing Music with Maximal Transformable Patterns
- Learnable Wavelet Packet Transform for Data-Adapted Spectrograms
- Server-Side Stepsizes and Sampling Without Replacement Provably Help in Federated Optimization
- RTNet: Relation Transformer Network for Diabetic Retinopathy Multi-lesion Segmentation
- Fast Server Learning Rate Tuning for Coded Federated Dropout
- A Kernel-Based Approach for Modelling Gaussian Processes with Functional Information
- Recency Dropout for Recurrent Recommender Systems
- Language-biased image classification: evaluation based on semantic representations
- An Overview of Compressible and Learnable Image Transformation with Secret Key and Its Applications
- A Multi-rater Comparative Study of Automatic Target Localization Methods for Epilepsy Deep Brain Stimulation Procedures
- One shot PACS: Patient specific Anatomic Context and Shape prior aware recurrent registration-segmentation of longitudinal thoracic cone beam CTs
- Learning To Recognize Procedural Activities with Distant Supervision
- Uphill Roads to Variational Tightness: Monotonicity and Monte Carlo Objectives
- Twitter-Demographer: A Flow-based Tool to Enrich Twitter Data
- Jalisco's multiclass land cover analysis and classification using a novel lightweight convnet with real-world multispectral and relief data
- Joint Liver and Hepatic Lesion Segmentation in MRI using a Hybrid CNN with Transformer Layers
- How Robust are Discriminatively Trained Zero-Shot Learning Models?
- Physics-informed ConvNet: Learning Physical Field from a Shallow Neural Network
- Dual-Tasks Siamese Transformer Framework for Building Damage Assessment
- On the Power of Gradual Network Alignment Using Dual-Perception Similarities
- Boosting 3D Adversarial Attacks with Attacking On Frequency
- FIGARO: Generating Symbolic Music with Fine-Grained Artistic Control
- Pair-Level Supervised Contrastive Learning for Natural Language Inference
- Behavior Tree-Based Task Planning for Multiple Mobile Robots using a Data Distribution Service
- A Bayesian Based Deep Unrolling Algorithm for Single-Photon Lidar Systems
- Improving robustness and calibration in ensembles with diversity regularization
- Speeding up Heterogeneous Federated Learning with Sequentially Trained Superclients
- Hyperparameter Optimization for COVID-19 Chest X-Ray Classification
- The Norwegian Parliamentary Speech Corpus
- S3NN: Time Step Reduction of Spiking Surrogate Gradients for Training Energy Efficient Single-Step Spiking Neural Networks
- TransPPG: Two-stream Transformer for Remote Heart Rate Estimate
- CodeRetriever: Unimodal and Bimodal Contrastive Learning for Code Search
- On the Issues of TrueDepth Sensor Data for Computer Vision Tasks Across Different iPad Generations
- A deep learning method based on patchwise training for reconstructing temperature field
- Visualizing the Diversity of Representations Learned by Bayesian Neural Networks
- Predicting Knee Osteoarthritis Progression from Structural MRI using Deep Learning
- Comparison of Depth Estimation Setups from Stereo Endoscopy and Optical Tracking for Point Measurements
All 141
- Privacy-Preserving Logistic Regression Training with A Faster Gradient Variant
- PARS: Pseudo-Label Aware Robust Sample Selection for Learning with Noisy Labels
- MonoDistill: Learning Spatial Features for Monocular 3D Object Detection
- An Explainable Artificial Intelligence Framework for Quality-Aware IoE Service Delivery
- Both the validity of the cultural tightness index and the association with creativity and order are spurious -- a comment on Jackson et al
- Speed, Quality, and the Optimal Timing of Complex Decisions: Field Evidence
- Exploiting Semantic Epsilon Greedy Exploration Strategy in Multi-Agent Reinforcement Learning
- When Shift Operation Meets Vision Transformer: An Extremely Simple Alternative to Attention Mechanism
- An Automated Question-Answering Framework Based on Evolution Algorithm
- On the Effectiveness of Pinyin-Character Dual-Decoding for End-to-End Mandarin Chinese ASR
- Self-supervised 3D Semantic Representation Learning for Vision-and-Language Navigation
- Variational Model Inversion Attacks
- ASFD: Automatic and Scalable Face Detector
- On Sharp Stochastic Zeroth Order Hessian Estimators over Riemannian Manifolds
- Meta-learning Spiking Neural Networks with Surrogate Gradient Descent
- DSFormer: A Dual-domain Self-supervised Transformer for Accelerated Multi-contrast MRI Reconstruction
- Competition over data: how does data purchase affect users?
- Confidence intervals for the Cox model test error from cross-validation
- A Comprehensive Study of Image Classification Model Sensitivity to Foregrounds, Backgrounds, and Visual Attributes
- An Efficient and Robust System for Vertically Federated Random Forest
- Interactive Image Inpainting Using Semantic Guidance
- Phishing Attacks Detection -- A Machine Learning-Based Approach
- Graph Neural Networks with Dynamic and Static Representations for Social Recommendation
- Learning Multiple Probabilistic Degradation Generators for Unsupervised Real World Image Super Resolution
- A Cooperation-Aware Lane Change Method for Autonomous Vehicles
- Combining Experimental and Observational Data for Identification and Estimation of Long-Term Causal Effects
- Infrared and visible image fusion based on Multi-State Contextual Hidden Markov Model
- Class-Aware Adversarial Transformers for Medical Image Segmentation
- A Joint Convolution Auto-encoder Network for Infrared and Visible Image Fusion
- CrossRectify: Leveraging Disagreement for Semi-supervised Object Detection
- Training Vision Transformers with Only 2040 Images
- Image Generation with Self Pixel-wise Normalization
- Neural Grapheme-to-Phoneme Conversion with Pre-trained Grapheme Models
- Adaptive Resonance Theory-based Topological Clustering with a Divisive Hierarchical Structure Capable of Continual Learning
- Toward Data-Driven STAP Radar
- Sparsity Regularization For Cold-Start Recommendation
- A Unified Strategy for Multilingual Grammatical Error Correction with Pre-trained Cross-Lingual Language Model
- Deep Image Deblurring: A Survey
- Estimation of Spectral Biophysical Skin Properties from Captured RGB Albedo
- Invertible Voice Conversion
- Promises and Challenges of Causality for Ethical Machine Learning