Papers
Mon 9 Jan 2023
113 papers
- On The Fragility of Learned Reward FunctionsLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
- ERNIE 3.0 Tiny: Frustratingly Simple Method to Improve Task-Agnostic Distillation GeneralizationKnowledge distillation → Knowledge distillation for LLMs
- Latent Autoregressive Source Separation
- Architecting Safer Autonomous Aviation Systems
- A domain-decomposed VAE method for Bayesian inverse problems
- Learning Compiler Pass Orders using Coreset and Normalized Value Prediction
- Distributed Sparse Linear Regression under Communication Constraints
- Reconstructing Individual Data Points in Federated Learning Hardened with Differential Privacy and Secure Aggregation
- Privacy-Preserving Record Linkage for Cardinality Counting
- Constraining cosmological parameters from N-body simulations with Variational Bayesian Neural Networks
- SantaCoder: don't reach for the stars!
- Federated Learning for Energy Constrained IoT devices: A systematic mapping study
- Noncontact Respiratory Anomaly Detection Using Infrared Light-Wave Sensing
- 3D Shape Perception Integrates Intuitive Physics and Analysis-by-Synthesis
- Transfer learning for conflict and duplicate detection in software requirement pairs
- On the Susceptibility and Robustness of Time Series Models through Adversarial Attack and Defense
- Artificial Intelligence Model for Tumoral Clinical Decision Support Systems
- Transformers as Policies for Variable Action Environments
- On adversarial robustness and the use of Wasserstein ascent-descent dynamics to enforce it
- Towards Multifaceted Human-Centered AI
- Bayesian Additive Main Effects and Multiplicative Interaction Models using Tensor Regression for Multi-environmental Trials
- On the Minimax Regret for Linear Bandits in a wide variety of Action Spaces
- PatentsView-Evaluation: Evaluation Datasets and Tools to Advance Research on Inventor Name Disambiguation
- Explainable, Physics Aware, Trustworthy AI Paradigm Shift for Synthetic Aperture Radar
- Multiscale Metamorphic VAE for 3D Brain MRI Synthesis
- Designing BERT for Convolutional Networks: Sparse and Hierarchical Masked Modeling
- Balance is Essence: Accelerating Sparse Training via Adaptive Gradient Correction
- Principal deuterium Hugoniot via Quantum Monte Carlo and Delta-learning
- Safer Together: Machine Learning Models Trained on Shared Accident Datasets Predict Construction Injuries Better than Company-Specific Models
- Simple Binary Hypothesis Testing under Local Differential Privacy and Communication Constraints
- Physics-Informed Kernel Embeddings: Integrating Prior System Knowledge with Data-Driven Control
- An Impartial Transformer for Story Visualization
- Ancilia: Scalable Intelligent Video Surveillance for the Artificial Intelligence of Things
- Color Me Intrigued: Quantifying Usage of Colors in Fiction
- FedDebug: Systematic Debugging for Federated Learning Applications
- Efficient Attack Detection in IoT Devices using Feature Engineering-Less Machine Learning
- Leveraging Contextual Relatedness to Identify Suicide Documentation in Clinical Notes through Zero Shot Learning
- Physics-separating artificial neural networks for predicting sputtering and thin film deposition of AlN in Ar/N2 discharges on experimental timescales
- SCENE: Reasoning about Traffic Scenes using Heterogeneous Graph Neural Networks
- Parallel Reasoning Network for Human-Object Interaction Detection
- Advances in Medical Image Analysis with Vision Transformers: A Comprehensive Review
- On the challenges to learn from Natural Data Streams
- Differentiable Simulations for Enhanced Sampling of Rare Events
- DeMT: Deformable Mixer Transformer for Multi-Task Learning of Dense Prediction
- Mining Healthcare Procurement Data Using Text Mining and Natural Language Processing -- Reflection From An Industrial Project
- Automatic Standardization of Arabic Dialects for Machine Translation
- L-SeqSleepNet: Whole-cycle Long Sequence Modelling for Automatic Sleep Staging
- Generalized adaptive smoothing based neural network architecture for traffic state estimation
- Multi-Modal and Multi-Resolution Data Fusion for High-Resolution Cloud Removal: A Novel Baseline and Benchmark
- LTS-NET: End-to-end Unsupervised Learning of Long-Term 3D Stable objects
- A review of clustering models in educational data science towards fairness-aware learning
- Nuclear Segmentation and Classification: On Color & Compression Generalization
- Fast and Correct Gradient-Based Optimisation for Probabilistic Programming via Smoothing
- On Advantages of Mask-level Recognition for Outlier-aware Segmentation
- Asynchronous Multi-Agent Reinforcement Learning for Efficient Real-Time Multi-Robot Cooperative Exploration
- AI2: The next leap toward native language based and explainable machine learning framework
- Tuning Path Tracking Controllers for Autonomous Cars Using Reinforcement Learning
- Image Denoising: The Deep Learning Revolution and Beyond -- A Survey Paper --
- Upward lightning at wind turbines: Risk assessment from larger-scale meteorology
- Learning Bidirectional Action-Language Translation with Limited Supervision and Incongruent Input
- Latent Spectral Regularization for Continual Learning
- Universal Multimodal Representation for Language Understanding
- Topologically Regularized Data Embeddings
- Nearest Neighbor-Based Contrastive Learning for Hyperspectral and LiDAR Data Classification
- A Specific Task-oriented Semantic Image Communication System for substation patrol inspection
- HyRSM++: Hybrid Relation Guided Temporal Set Matching for Few-shot Action Recognition
- EMAHA-DB1: A New Upper Limb sEMG Dataset for Classification of Activities of Daily Living
- Simplifying Open-Set Video Domain Adaptation with Contrastive Learning
- FullStop:Punctuation and Segmentation Prediction for Dutch with Transformers
- The Optimal Input-Independent Baseline for Binary Classification: The Dutch Draw
- ATM-R: An Adaptive Tradeoff Model with Reference Points for Constrained Multiobjective Evolutionary Optimization
- BQ-NCO: Bisimulation Quotienting for Efficient Neural Combinatorial Optimization
- Do Performance Aspirations Matter for Guiding Software Configuration Tuning?
- A Robust Multilabel Method Integrating Rule-based Transparent Model, Soft Label Correlation Learning and Label Noise Resistance
- Universal Information Extraction as Unified Semantic Matching
- The state-of-the-art 3D anisotropic intracranial hemorrhage segmentation on non-contrast head CT: The INSTANCE challenge
- Network Slicing via Transfer Learning aided Distributed Deep Reinforcement Learning
- Active Learning for Abstractive Text Summarization
- VQNet 2.0: A New Generation Machine Learning Framework that Unifies Classical and Quantum
- MAQA: A Multimodal QA Benchmark for Negation
- Optimistic Meta-Gradients
- On Consistency and Asymptotic Normality of Least Absolute Deviation Estimators for 2-dimensional Sinusoidal Model
- Online Fake Review Detection Using Supervised Machine Learning And BERT Model
- Machine Learning Algorithms for Depression Detection and Their Comparison
- Enabling AI-Generated Content (AIGC) Services in Wireless Edge Networks
- Reservoir Prediction by Machine Learning Methods on The Well Data and Seismic Attributes for Complex Coastal Conditions
- EgoTracks: A Long-term Egocentric Visual Object Tracking Dataset
- Introducing Model Inversion Attacks on Automatic Speaker Recognition
- Integrating features from lymph node stations for metastatic lymph node detection
- The Algonauts Project 2023 Challenge: How the Human Brain Makes Sense of Natural Scenes
- Few-shot Semantic Segmentation with Support-induced Graph Convolutional Network
- Minimax Weight Learning for Absorbing MDPs
- Structure-Informed Shadow Removal Networks
- Subset verification and search algorithms for causal DAGs
- Deep Planar Parallax for Monocular Depth Estimation
- A Study on the Generality of Neural Network Structures for Monocular Depth Estimation
- Machining feature recognition using descriptors with range constraints for mechanical 3D models
- Cursive Caption Text Detection in Videos
- eFIN: Enhanced Fourier Imager Network for generalizable autofocusing and pixel super-resolution in holographic imaging
- Towards Real-Time Panoptic Narrative Grounding by an End-to-End Grounding Network
All 113
- Instance Segmentation Based Graph Extraction for Handwritten Circuit Diagram Images
- MOTOR: A Time-To-Event Foundation Model For Structured Medical Records
- Finding Lookalike Customers for E-Commerce Marketing
- Exploration in Model-based Reinforcement Learning with Randomized Reward
- Applying Automated Machine Translation to Educational Video Courses
- A Newton-CG based augmented Lagrangian method for finding a second-order stationary point of nonconvex equality constrained optimization with complexity guarantees
- Removing Non-Stationary Knowledge From Pre-Trained Language Models for Entity-Level Sentiment Classification in Finance
- A Semi-supervised Approach for Activity Recognition from Indoor Trajectory Data
- Transceiver Cooperative Learning-aided Semantic Communications Against Mismatched Background Knowledge Bases
- SFI-Swin: Symmetric Face Inpainting with Swin Transformer by Distinctly Learning Face Components Distributions
- Logically at Factify 2: A Multi-Modal Fact Checking System Based on Evidence Retrieval techniques and Transformer Encoder Architecture
- Sharper Analysis for Minibatch Stochastic Proximal Point Methods: Stability, Smoothness, and Deviation
- Locomotion-Action-Manipulation: Synthesizing Human-Scene Interactions in Complex 3D Environments