Papers
Tue 3 May 2022
165 papers
- Meta-Cognition. An Inverse-Inverse Reinforcement Learning Approach for Cognitive RadarsOffline RL and imitation learning from data → Inverse reinforcement learning
- Masked Generative DistillationKnowledge distillation → General knowledge distillation methods
- Subspace Diffusion Generative ModelsDiffusion models → Diffusion foundations and sampling
- RLFlow: Optimising Neural Network Subgraph Transformation with World ModelsWorld models → Latent dynamics models and model-based RL
- Cross Domain Object Detection by Target-Perceived Dual Branch DistillationKnowledge distillation → Detection and dense prediction distillation
- Evaluating Deep Taylor Decomposition for Reliability Assessment in the Wild
- A Contrario multi-scale anomaly detection method for industrial quality inspection
- Exploration of the possibility of infusing Social Media Trends into generating NFT Recommendations
- Assessing Confidence with Assurance 2.0
- Side-aware Meta-Learning for Cross-Dataset Listener Diagnosis with Subjective Tinnitus
- Disentangled and Side-aware Unsupervised Domain Adaptation for Cross-dataset Subjective Tinnitus Diagnosis
- Detection of Propaganda Techniques in Visuo-Lingual Metaphor in Memes
- Explainable multi-class anomaly detection on functional data
- Biometric Signature Verification Using Recurrent Neural Networks
- Understanding Urban Water Consumption using Remotely Sensed Data
- Time Shifts to Reduce the Size of Reservoir Computers
- Predicting vacant parking space availability zone-wisely: a graph based spatio-temporal prediction approach
- Improved Orientation Estimation and Detection with Hybrid Object Detection Networks for Automotive Radar
- Zero-shot Sonnet Generation with Discourse-level Planning and Aesthetics Features
- i-Code: An Integrative and Composable Multimodal Learning Framework
- A Holistic Framework for Analyzing the COVID-19 Vaccine Debate
- Diverse Image Captioning with Grounded Style
- Assessing Dataset Bias in Computer Vision
- Scientific Explanation and Natural Language: A Unified Epistemological-Linguistic Perspective for Explainable AI
- Frequency Domain-Based Detection of Generated Audio
- Splicing Detection and Localization In Satellite Imagery Using Conditional GANs
- A Review on Pushing the Limits of Baseline Recommendation Systems with the integration of Opinion Mining & Information Retrieval Techniques
- Synthesized Speech Detection Using Convolutional Transformer-Based Spectrogram Analysis
- Do More Negative Samples Necessarily Hurt in Contrastive Learning?
- The ICML 2022 Expressive Vocalizations Workshop and Competition: Recognizing, Generating, and Personalizing Vocal Bursts
- Deep Multi-Scale U-Net Architecture and Label-Noise Robust Training Strategies for Histopathological Image Segmentation
- The Brazilian Data at Risk in the Age of AI?
- Data-Consistent Non-Cartesian Deep Subspace Learning for Efficient Dynamic MR Image Reconstruction
- Explain and Conquer: Personalised Text-based Reviews to Achieve Transparency
- Differentiable Simulation of Soft Multi-body Systems
- XLTime: A Cross-Lingual Knowledge Transfer Framework for Temporal Expression Extraction
- B'ezier Curve Gaussian Processes
- Self-focusing virtual screening with active design space pruning
- On monoaural speech enhancement for automatic recognition of real noisy speech using mixture invariant training
- Mixed-effects transformers for hierarchical adaptation
- Comparison of CoModGANs, LaMa and GLIDE for Art Inpainting- Completing M.C Escher's Print Gallery
- Application of belief functions to medical image segmentation: A review
- Themes of Revenge: Automatic Identification of Vengeful Content in Textual Data
- Quiz Design Task: Helping Teachers Create Quizzes with Automated Question Generation
- License Plate Privacy in Collaborative Visual Analysis of Traffic Scenes
- In Defense of Image Pre-Training for Spatiotemporal Recognition
- Don't sweat the small stuff, classify the rest: Sample Shielding to protect text classifiers against adversarial attacks
- MemSE: Fast MSE Prediction for Noisy Memristor-Based DNN Accelerators
- Object Class Aware Video Anomaly Detection through Image Translation
- Improving In-Context Few-Shot Learning via Self-Supervised Training
- On Circuit Depth Scaling For Quantum Approximate Optimization
- End2End Multi-View Feature Matching with Differentiable Pose Optimization
- Smart City Intersections: Intelligence Nodes for Future Metropolises
- Deep Sequence Modeling for Anomalous ISP Traffic Prediction
- Effect of Random Histogram Equalization on Breast Calcification Analysis Using Deep Learning
- SpineNetV2: Automated Detection, Labelling and Radiological Grading Of Clinical MR Scans
- Growing Isotropic Neural Cellular Automata
- Physics to the Rescue: Deep Non-line-of-sight Reconstruction for High-speed Imaging
- End-to-End Visual Editing with a Generatively Pre-Trained Artist
- DANBO: Disentangled Articulated Neural Body Representations via Graph Neural Networks
- Adversarial Training for High-Stakes Reliability
- Cross-modal Representation Learning for Zero-shot Action Recognition
- GeoRefine: Self-Supervised Online Depth Refinement for Accurate Dense Mapping
- Episodic Memory Question Answering
- Intelligent Trajectory Design for RIS-NOMA aided Multi-robot Communications
- MTTrans: Cross-Domain Object Detection with Mean-Teacher Transformer
- Multi-view Geometry: Correspondences Refinement Based on Algebraic Properties
- Unifying the Convergences in Multilingual Neural Machine Translation
- Automatic Segmentation of Aircraft Dents in Point Clouds
- Local Stochastic Bilevel Optimization with Momentum-Based Variance Reduction
- Modeling and Correcting Bias in Sequential Evaluation
- Toward Modeling Creative Processes for Algorithmic Painting
- CTM -- A Model for Large-Scale Multi-View Tweet Topic Classification
- A Comparison of Approaches for Imbalanced Classification Problems in the Context of Retrieving Relevant Documents for an Analysis
- A Bidirectional Conversion Network for Cross-Spectral Face Recognition
- An Empirical Study on Internet Traffic Prediction Using Statistical Rolling Model
- SparCAssist: A Model Risk Assessment Assistant Based on Sparse Generated Counterfactuals
- Simpler is Better: off-the-shelf Continual Learning Through Pretrained Backbones
- Better plain ViT baselines for ImageNet-1k
- RAFT-MSF: Self-Supervised Monocular Scene Flow using Recurrent Optimizer
- Training Mixed-Domain Translation Models via Federated Learning
- Privacy Amplification via Random Participation in Federated Learning
- Cross-View Cross-Scene Multi-View Crowd Counting
- Point Cloud Semantic Segmentation using Multi Scale Sparse Convolution Neural Network
- Adaptable Adapters
- Learn To Remember: Transformer with Recurrent Memory for Document-Level Machine Translation
- Learning to Transfer Prompts for Text Generation
- Efficient Fine-Tuning of BERT Models on the Edge
- SUBS: Subtree Substitution for Compositional Semantic Parsing
- BiOcularGAN: Bimodal Synthesis and Annotation of Ocular Images
- Using Ontologies for the Formalization and Recognition of Criticality for Automated Driving
- ElitePLM: An Empirical Study on General Language Ability Evaluation of Pretrained Language Models
- Multitask Network for Joint Object Detection, Semantic Segmentation and Human Pose Estimation in Vehicle Occupancy Monitoring
- Tunable Quantum Neural Networks in the QPAC-Learning Framework
- ExSpliNet: An interpretable and expressive spline-based neural network
- MS Lesion Segmentation: Revisiting Weighting Mechanisms for Federated Learning
- Compact Neural Networks via Stacking Designed Basic Units
- BasqueParl: A Bilingual Corpus of Basque Parliamentary Transcriptions
- Meta Learning for Natural Language Processing: A Survey
- Semantic Diversity in Dialogue with Natural Language Inference
All 165
- On the uncertainty principle of neural networks
- A unified view on Self-Organizing Maps (SOMs) and Stochastic Neighbor Embedding (SNE)
- A Comprehensive Survey of Image Augmentation Techniques for Deep Learning
- Scalable Regularised Joint Mixture Models
- Multi-Spatio-temporal Fusion Graph Recurrent Network for Traffic forecasting
- Revisiting Communication-Efficient Federated Learning with Balanced Global and Local Updates
- On the Convergence of Fictitious Play: A Decomposition Approach
- On the Effect of Information Asymmetry in Human-AI Teams
- Inducing and Using Alignments for Transition-based AMR Parsing
- Deep learning of quantum entanglement from incomplete measurements
- 3D Semantic Scene Perception using Distributed Smart Edge Sensors
- Frequency-Selective Geometry Upsampling of Point Clouds
- Efficient algorithms for implementing incremental proximal-point methods
- Model-Free Opponent Shaping
- High-dimensional Asymptotics of Feature Learning: How One Gradient Step Improves the Representation
- Learning Coulomb Diamonds in Large Quantum Dot Arrays
- FedGiA: An Efficient Hybrid Algorithm for Federated Learning
- ARCADE: Adversarially Regularized Convolutional Autoencoder for Network Anomaly Detection
- Autonomy and Intelligence in the Computing Continuum: Challenges, Enablers, and Future Directions for Orchestration
- A Falsificationist Account of Artificial Neural Networks
- An Empirical Analysis of the Use of Real-Time Reachability for the Safety Assurance of Autonomous Vehicles
- How Does Embodiment Affect the Human Perception of Computational Creativity? An Experimental Study Framework
- Exact Paired-Permutation Testing for Structured Test Statistics
- Multimodal Detection of Unknown Objects on Roads for Autonomous Driving
- On the Utility of Prediction Sets in Human-AI Teams
- Neural Language Taskonomy: Which NLP Tasks are the most Predictive of fMRI Brain Activity?
- Outdoor Monocular Depth Estimation: A Research Review
- Data Determines Distributional Robustness in Contrastive Language Image Pre-training (CLIP)
- Sampling-free obstacle gradients and reactive planning in Neural Radiance Fields (NeRF)
- Smooth over-parameterized solvers for non-smooth structured optimization
- Kompetencer: Fine-grained Skill Classification in Danish Job Postings via Distant Supervision and Transfer Learning
- Deep Learning in Multimodal Remote Sensing Data Fusion: A Comprehensive Review
- Textual Entailment for Event Argument Extraction: Zero- and Few-Shot with Multi-Source Learning
- Hidden behind the obvious: misleading keywords and implicitly abusive language on social media
- Copy Motion From One to Another: Fake Motion Video Generation
- A hybrid multi-object segmentation framework with model-based B-splines for microbial single cell analysis
- Finding patterns in Knowledge Attribution for Transformers
- TracInAD: Measuring Influence for Anomaly Detection
- Learning Label Initialization for Time-Dependent Harmonic Extension
- Prediction-Based Reachability Analysis for Collision Risk Assessment on Highways
- Neural Combinatorial Optimization: a New Player in the Field
- Predicting Loose-Fitting Garment Deformations Using Bone-Driven Motion Networks
- BioTouchPass: Handwritten Passwords for Touchscreen Biometrics
- Predicting Issue Types with seBERT
- GRAPHYP: A Scientific Knowledge Graph with Manifold Subnetworks of Communities. Detection of Scholarly Disputes in Adversarial Information Routes
- Learning Discrete Structured Variational Auto-Encoder using Natural Evolution Strategies
- Open vs Closed-ended questions in attitudinal surveys -- comparing, combining, and interpreting using natural language processing
- HL-Net: Heterophily Learning Network for Scene Graph Generation
- Distilling Governing Laws and Source Input for Dynamical Systems from Videos
- FedRN: Exploiting k-Reliable Neighbors Towards Robust Federated Learning
- Contrastive Learning for Prompt-Based Few-Shot Language Learners
- Embedding Hallucination for Few-Shot Language Fine-tuning
- CANShield: Deep Learning-Based Intrusion Detection Framework for Controller Area Networks at the Signal-Level
- Convergence of Stochastic Approximation via Martingale and Converse Lyapunov Methods
- Towards an Ensemble Regressor Model for Anomalous ISP Traffic Prediction
- RU-Net: Regularized Unrolling Network for Scene Graph Generation
- Visual Knowledge Discovery with Artificial Intelligence: Challenges and Future Directions
- A Survey of Deep Learning Models for Structural Code Understanding
- DrugEHRQA: A Question Answering Dataset on Structured and Unstructured Electronic Health Records For Medicine Related Queries
- SemAttack: Natural Textual Attacks via Different Semantic Spaces
- Real-time Cooperative Vehicle Coordination at Unsignalized Road Intersections
- Lite Pose: Efficient Architecture Design for 2D Human Pose Estimation
- MP and MT properties of fuzzy inference with aggregation function
- From {Solution Synthesis} to {Student Attempt Synthesis} for Block-Based Visual Programming Tasks
- Norm-Agnostic Linear Bandits