Papers
Sun 15 Jan 2023
66 papers
- Adaptive Deep Neural Network Inference Optimization with EENetEfficient LLM inference and serving → Early exit and edge inference
- Diffusion-based Generation, Optimization, and Planning in 3D ScenesDiffusion models → Diffusion and flow policies for robotics
- Neuro-symbolic Meta Reinforcement Learning for Trading
- Sequential Graph Attention Learning for Predicting Dynamic Stock Trends (Student Abstract)
- Predicting Socio-Economic Well-being Using Mobile Apps Data: A Case Study of France
- What's happening in your neighborhood? A Weakly Supervised Approach to Detect Local News
- Quantum-inspired tensor network for Earth science
- AutoFraudNet: A Multimodal Network to Detect Fraud in the Auto Insurance Industry
- Distributed LSTM-Learning from Differentially Private Label Proportions
- Analogy between Boltzmann machines and Feynman path integrals
- CogReact: A Reinforced Framework to Model Human Cognitive Reaction Modulated by Dynamic Intervention
- What artificial intelligence might teach us about the origin of human language
- Shades of Iteration: from Elgot to Kleene
- Efficiently Computing Sparse Fourier Transforms of q-ary Functions
- Doubly Robust Counterfactual Classification
- Generalized Neural Closure Models with Interpretability
- Who Should Predict? Exact Algorithms For Learning to Defer to Humans
- Calibrated Data-Dependent Constraints with Exact Satisfaction Guarantees
- Geometric Graph Learning with Extended Atom-Types Features for Protein-Ligand Binding Affinity Prediction
- RedBit: An End-to-End Flexible Framework for Evaluating the Accuracy of Quantized CNNs
- BuildSeg: A General Framework for the Segmentation of Buildings
- CNN-Based Action Recognition and Pose Estimation for Classifying Animal Behavior from Videos: A Survey
- LitAR: Visually Coherent Lighting for Mobile Augmented Reality
- Bayesian Models of Functional Connectomics and Behavior
- Secure Video Streaming Using Dedicated Hardware
- Bike Frames: Understanding the Implicit Portrayal of Cyclists in the News
- Summative Student Course Review Tool Based on Machine Learning Sentiment Analysis to Enhance Life Science Feedback Efficacy
- A Coreset Learning Reality Check
- TextileNet: A Material Taxonomy-based Fashion Textile Dataset
- Inpainting borehole images using Generative Adversarial Networks
- Computability of Optimizers
- Multi-Camera Lighting Estimation for Photorealistic Front-Facing Mobile Augmented Reality
- Max-min Learning of Approximate Weight Matrices from Fuzzy Data
- Improving Reliability of Fine-tuning with Block-wise Optimisation
- Deep Diversity-Enhanced Feature Representation of Hyperspectral Images
- CORE: Learning Consistent Ordinal REpresentations for Image Ordinal Estimation
- Maximally Compact and Separated Features with Regular Polytope Networks
- Learning to Compress Unmanned Aerial Vehicle (UAV) Captured Video: Benchmark and Analysis
- Segmenting thalamic nuclei from manifold projections of multi-contrast MRI
- Learning Sparse Temporal Video Mapping for Action Quality Assessment in Floor Gymnastics
- MN-Pair Contrastive Damage Representation and Clustering for Prognostic Explanation
- Symbolic expression generation via Variational Auto-Encoder
- Learning Audio-Driven Viseme Dynamics for 3D Face Animation
- Hawk: An Industrial-strength Multi-label Document Classifier
- Planning for Learning Object Properties
- T2M-GPT: Generating Human Motion from Textual Descriptions with Discrete Representations
- DSVT: Dynamic Sparse Voxel Transformer with Rotated Sets
- EvoAAA: An evolutionary methodology for automated neural autoencoder architecture search
- Unsupervised Cardiac Segmentation Utilizing Synthesized Images from Anatomical Labels
- Identifying Time Lag in Dynamical Systems with Copula Entropy based Transfer Entropy
- Efficient anomaly detection method for rooftop PV systems using big data and permutation entropy
- A Review on the effectiveness of Dimensional Reduction with Computational Forensics: An Application on Malware Analysis
- Self-recovery of memory via generative replay
- Pluto's Surface Mapping using Unsupervised Learning from Near-Infrared Observations of LEISA/Ralph
- A data science and machine learning approach to continuous analysis of Shakespeare's plays
- Interpretable and Scalable Graphical Models for Complex Spatio-temporal Processes
- Delving Deep into Pixel Alignment Feature for Accurate Multi-view Human Mesh Recovery
- CMAE-V: Contrastive Masked Autoencoders for Video Action Recognition
- Rethinking Precision of Pseudo Label: Test-Time Adaptation via Complementary Learning
- On Pseudo-Labeling for Class-Mismatch Semi-Supervised Learning
- Rationalizing Predictions by Adversarial Information Calibration
- ACTIVE: A Deep Model for Sperm and Impurity Detection in Microscopic Videos
- Exploiting Auxiliary Caption for Video Grounding
- Collective Privacy Recovery: Data-sharing Coordination via Decentralized Artificial Intelligence
- Min-Max-Jump distance and its applications
- Empirical study of the modulus as activation function in computer vision applications