Papers
Tue 19 Jul 2022
173 papers
- Tip-Adapter: Training-free Adaption of CLIP for Few-shot ClassificationMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- On Decentralizing Federated Reinforcement Learning in Multi-Robot ScenariosLLM agents and tool use → Agentic AI for wireless networks
- FedX: Unsupervised Federated Learning with Cross Knowledge DistillationKnowledge distillation → Federated, robust and private distillation
- MoEC: Mixture of Expert ClustersMixture-of-experts → MoE large language models
- Generalizing Goal-Conditioned Reinforcement Learning with Variational Causal ReasoningLLM reasoning → Causal reasoning in LLMs
- Context Unaware Knowledge Distillation for Image RetrievalKnowledge distillation → General knowledge distillation methods
- Using Conservation Laws to Infer Deep Learning Model Accuracy of Richtmyer-meshkov Instabilities
- ANTI-CARLA: An Adversarial Testing Framework for Autonomous Vehicles in CARLA
- Classification of Stress via Ambulatory ECG and GSR Data
- COROID: A Crowdsourcing-based Companion Drones to Tackle Current and Future Pandemics
- Bayesian Evidential Learning for Few-Shot Classification
- Enhancing Collaborative Filtering Recommender with Prompt-Based Sentiment Analysis
- OpenFilter: A Framework to Democratize Research Access to Social Media AR Filters
- ALTO: A Large-Scale Dataset for UAV Visual Place Recognition and Localization
- Machine learning approach in the development of building occupant personas
- Improved lightweight identification of agricultural diseases based on MobileNetV3
- Defending Substitution-Based Profile Pollution Attacks on Sequential Recommenders
- You Actually Look Twice At it (YALTAi): using an object detection approach instead of region segmentation within the Kraken engine
- Large-Kernel Attention for 3D Medical Image Segmentation
- Target-Driven Structured Transformer Planner for Vision-Language Navigation
- IDPS Signature Classification with a Reject Option and the Incorporation of Expert Knowledge
- Big Data and Education: using big data analytics in language learning
- DESCN: Deep Entire Space Cross Networks for Individual Treatment Effect Estimation
- Feasible Adversarial Robust Reinforcement Learning for Underspecified Environments
- ICRICS: Iterative Compensation Recovery for Image Compressive Sensing
- New Auction Algorithms for Path Planning, Network Transport, and Reinforcement Learning
- Sample Efficient Learning of Predictors that Complement Humans
- Segmentation of 3D Dental Images Using Deep Learning
- A Frequency-Velocity CNN for Developing Near-Surface 2D Vs Images from Linear-Array, Active-Source Wavefield Measurements
- Robust Multivariate Time-Series Forecasting: Adversarial Attacks and Defense Mechanisms
- FedNet2Net: Saving Communication and Computations in Federated Learning with Model Growing
- Human-guided Collaborative Problem Solving: A Natural Language based Framework
- QuoteKG: A Multilingual Knowledge Graph of Quotes
- Holistic Robust Data-Driven Decisions
- Controllable Data Generation by Deep Learning: A Review
- Revealing Secrets From Pre-trained Models
- Forget-me-not! Contrastive Critics for Mitigating Posterior Collapse
- LR-Net: A Block-based Convolutional Neural Network for Low-Resolution Image Classification
- Knowledge distillation with a class-aware loss for endoscopic disease detection
- COVID-19 Detection from Respiratory Sounds with Hierarchical Spectrogram Transformers
- The Dice loss in the context of missing or empty labels: Introducing Phi and ε
- ESPnet-SE++: Speech Enhancement for Robust Speech Recognition, Translation, and Understanding
- Approximation Power of Deep Neural Networks: an explanatory mathematical survey
- Contributions of Shape, Texture, and Color in Visual Recognition
- HSE-NN Team at the 4th ABAW Competition: Multi-task Emotion Recognition and Learning from Synthetic Images
- SeasoNet: A Seasonal Scene Classification, segmentation and Retrieval dataset for satellite Imagery over Germany
- An Efficient Method for Face Quality Assessment on the Edge
- Invariant Feature Learning for Generalized Long-Tailed Classification
- Deep Analysis of Visual Product Reviews
- Comparison of automatic prostate zones segmentation models in MRI images using U-net-like architectures
- Contaminant source identification in groundwater by means of artificial neural network
- A Deep Learning Framework for Wind Turbine Repair Action Prediction Using Alarm Sequences and Long Short Term Memory Algorithms
- To update or not to update? Neurons at equilibrium in deep models
- Human-to-Robot Imitation in the Wild
- ShapeCrafter: A Recursive Text-Conditioned 3D Shape Generation Model
- PoserNet: Refining Relative Camera Poses Exploiting Object Detections
- Theseus: A Library for Differentiable Nonlinear Optimization
- A Convolutional Neural Network Approach to Supernova Time-Series Classification
- Regret Minimization with Noisy Observations
- Deep equilibrium networks are sensitive to initialization statistics
- Geometric Features Informed Multi-person Human-object Interaction Recognition in Videos
- Unrolled algorithms for group synchronization
- SphereFed: Hyperspherical Federated Learning
- Det6D: A Ground-Aware Full-Pose 3D Object Detector for Improving Terrain Robustness
- Bounding generalization error with input compression: An empirical study with infinite-width networks
- Bayesian Generational Population-Based Training
- RCLane: Relay Chain Prediction for Lane Detection
- Mimetic Models: Ethical Implications of AI that Acts Like You
- Neural Greedy Pursuit for Feature Selection
- Image Synthesis with Disentangled Attributes for Chest X-Ray Nodule Augmentation and Detection
- Green, Quantized Federated Learning over Wireless Networks: An Energy-Efficient Design
- Alterfactual Explanations -- The Relevance of Irrelevance for Explaining AI Systems
- Multi-Task Learning Framework for Emotion Recognition in-the-wild
- Data-Centric Epidemic Forecasting: A Survey
- Cycle Encoding of a StyleGAN Encoder for Improved Reconstruction and Editability
- Beyond Transmitting Bits: Context, Semantics, and Task-Oriented Communications
- Computer Vision to the Rescue: Infant Postural Symmetry Estimation from Incongruent Annotations
- Riemannian Stochastic Gradient Method for Nested Composition Optimization
- Online Dynamics Learning for Predictive Control with an Application to Aerial Robots
- A coherence parameter characterizing generative compressed sensing with Fourier measurements
- Vision Transformers: From Semantic Segmentation to Dense Prediction
- Uncertainty in Contrastive Learning: On the Predictability of Downstream Performance
- Rethinking IoU-based Optimization for Single-stage 3D Object Detection
- Multi-parametric Analysis for Mixed Integer Linear Programming: An Application to Transmission Planning and Congestion Control
- Probabilistic Reconciliation of Count Time Series
- Metadata Representations for Queryable ML Model Zoos
- Self-Supervised Interactive Object Segmentation Through a Singulation-and-Grasping Approach
- Content-aware Scalable Deep Compressed Sensing
- Towards Trustworthy Healthcare AI: Attention-Based Feature Learning for COVID-19 Screening With Chest Radiography
- A sharp uniform-in-time error estimate for Stochastic Gradient Langevin Dynamics
- DH-AUG: DH Forward Kinematics Model Driven Augmentation for 3D Human Pose Estimation
- Deep Semantic Statistics Matching (D2SM) Denoising Network
- Few-Shot Teamwork
- Data-driven initialization of deep learning solvers for Hamilton-Jacobi-Bellman PDEs
- Magpie: Automatically Tuning Static Parameters for Distributed File Systems using Deep Reinforcement Learning
- The Caltech Fish Counting Dataset: A Benchmark for Multiple-Object Tracking and Counting
- 3D Room Layout Estimation from a Cubemap of Panorama Image via Deep Manhattan Hough Transform
- Exploiting Inter-Sample Affinity for Knowability-Aware Universal Domain Adaptation
- Action Quality Assessment with Temporal Parsing Transformer
- Don't Stop Learning: Towards Continual Learning for the CLIP Model
All 173
- Abstract Demonstrations and Adaptive Exploration for Efficient and Stable Multi-step Sparse Reward Reinforcement Learning
- Assaying Out-Of-Distribution Generalization in Transfer Learning
- Formal Algorithms for Transformers
- Semi-supervised Predictive Clustering Trees for (Hierarchical) Multi-label Classification
- Over-the-Air Federated Edge Learning with Hierarchical Clustering
- Image Super-Resolution with Deep Dictionary
- Similarity of Pre-trained and Fine-tuned Representations
- KinD-LCE Curve Estimation And Retinex Fusion On Low-Light Image
- FLDetector: Defending Federated Learning Against Model Poisoning Attacks via Detecting Malicious Clients
- VoloGAN: Adversarial Domain Adaptation for Synthetic Depth Data
- Exploring Disentangled Content Information for Face Forgery Detection
- Adaptive Learning for the Resource-Constrained Classification Problem
- NDF: Neural Deformable Fields for Dynamic Human Modelling
- Multimodal hierarchical Variational AutoEncoders with Factor Analysis latent space
- SCARA: Scalable Graph Neural Networks with Feature-Oriented Optimization
- Self-Supervision Can Be a Good Few-Shot Learner
- A Multi-Stage Framework for the 2022 Multi-Structure Segmentation for Renal Cancer Treatment
- Urdu Speech and Text Based Sentiment Analyzer
- Global and Local Features through Gaussian Mixture Models on Image Semantic Segmentation
- Single Stage Virtual Try-on via Deformable Attention Flows
- On the cross-lingual transferability of multilingual prototypical models across NLU tasks
- Learning Mutual Modulation for Self-Supervised Cross-Modal Super-Resolution
- Investigating Bayesian optimization for expensive-to-evaluate black box functions: Application in fluid dynamics
- Benchmarking Transformers-based models on French Spoken Language Understanding tasks
- On the Usability of Transformers-based models for a French Question-Answering task
- GAFX: A General Audio Feature eXtractor
- What Matters for 3D Scene Flow Network
- Using Neural Networks by Modelling Semi-Active Shock Absorber
- Heterogeneous Treatment Effect with Trained Kernels of the Nadaraya-Watson Regression
- ParticleSfM: Exploiting Dense Point Trajectories for Localizing Moving Cameras in the Wild
- Shrinking the Semantic Gap: Spatial Pooling of Local Moment Invariants for Copy-Move Forgery Detection
- Expert-LaSTS: Expert-Knowledge Guided Latent Space for Traffic Scenarios
- Active-Learning-as-a-Service: An Automatic and Efficient MLOps System for Data-Centric AI
- eCDT: Event Clustering for Simultaneous Feature Detection and Tracking-
- MONet: Multi-scale Overlap Network for Duplication Detection in Biomedical Images
- Explainable Human-in-the-loop Dynamic Data-Driven Digital Twins
- Complexity of High-Dimensional Identity Testing with Coordinate Conditional Sampling
- Analyzing Bagging Methods for Language Models
- Lazy Estimation of Variable Importance for Large Neural Networks
- Actor-Critic based Improper Reinforcement Learning
- XG-BoT: An Explainable Deep Graph Neural Network for Botnet Detection and Forensics
- Is Vertical Logistic Regression Privacy-Preserving? A Comprehensive Privacy Analysis and Beyond
- MHR-Net: Multiple-Hypothesis Reconstruction of Non-Rigid Shapes from 2D Views
- Can You Fool AI by Doing a 180? unicodex2013 A Case Study on Authorship Analysis of Texts by Arata Osada
- Dual Adaptive Transformations for Weakly Supervised Point Cloud Segmentation
- Relational Future Captioning Model for Explaining Likely Collisions in Daily Tasks
- ILASR: Privacy-Preserving Incremental Learning for Automatic Speech Recognition at Production Scale
- Multilingual Transformer Encoders: a Word-Level Task-Agnostic Evaluation
- Incremental Task Learning with Incremental Rank Updates
- Learning Action Translator for Meta Reinforcement Learning on Sparse-Reward Tasks
- PiC: A Phrase-in-Context Dataset for Phrase Understanding and Semantic Search
- Time Is MattEr: Temporal Self-supervision for Video Transformers
- Moment Centralization based Gradient Descent Optimizers for Convolutional Neural Networks
- A-SFS: Semi-supervised Feature Selection based on Multi-task Self-supervision
- Data Science and Machine Learning in Education
- Few-shot Open-set Recognition Using Background as Unknowns
- An Intelligent Trust Cloud Management Method for Secure Clustering in 5G enabled Internet of Medical Things
- Box-supervised Instance Segmentation with Level Set Evolution
- Balanced Contrastive Learning for Long-Tailed Visual Recognition
- HICF: Hyperbolic Informative Collaborative Filtering
- Don't Forget to Buy Milk: Contextually Aware Grocery Reminder Household Robot
- RepBNN: towards a precise Binary Neural Network with Enhanced Feature Map via Repeating
- TTVFI: Learning Trajectory-Aware Transformer for Video Frame Interpolation
- Dynamic Prototype Mask for Occluded Person Re-Identification
- ML-BPM: Multi-teacher Learning with Bidirectional Photometric Mixing for Open Compound Domain Adaptation in Semantic Segmentation
- Decorrelative Network Architecture for Robust Electrocardiogram Classification
- Indoor Localization for Personalized Ambient Assisted Living of Multiple Users in Multi-Floor Smart Environments
- Structure-aware Editable Morphable Model for 3D Facial Detail Animation and Manipulation
- The role of the geometric mean in case-control studies
- SS-MFAR : Semi-supervised Multi-task Facial Affect Recognition
- Discovering novel systemic biomarkers in photos of the external eye
- Structure from Action: Learning Interactions for Articulated Object 3D Structure Discovery
- Machine Learning in Orbit Estimation: a Survey