Papers
Mon 2 May 2022
146 papers
- Answer-Me: Multi-Task Open-Vocabulary Visual Question AnsweringLLM reasoning → Multimodal reasoning
- Type-aware Embeddings for Multi-Hop Reasoning over Knowledge GraphsLLM reasoning → Knowledge- and tool-augmented reasoning
- Logiformer: A Two-Branch Graph Transformer Network for Interpretable Logical ReasoningLLM reasoning → Knowledge- and tool-augmented reasoning
- FedDKD: Federated Learning with Decentralized Knowledge DistillationKnowledge distillation → Federated, robust and private distillation
- Mono-surrogate vs Multi-surrogate in Multi-objective Bayesian Optimisation
- Attention-wise masked graph contrastive learning for predicting molecular property
- Improving Students' Academic Performance with AI and Semantic Technologies
- Coalgebraic Fuzzy geometric logic
- PSI Draft Specification
- The AI Index 2022 Annual Report
- Real Time On Sensor Gait Phase Detection with 0.5KB Deep Learning Model
- The Limits of Word Level Differential Privacy
- Efficient Accelerator for Dilated and Transposed Convolution with Decomposition
- Learning Multi-dimensional Edge Feature-based AU Relation Graph for Facial Action Unit Recognition
- Pre-RTL DNN Hardware Evaluator With Fused Layer Support
- ASTROMER: A transformer-based embedding for the representation of light curves
- FundusQ-Net: a Regression Quality Assessment Deep Learning Algorithm for Fundus Images Quality Grading
- Deep Learning Framework for Real-time Fetal Brain Segmentation in MRI
- MIRST-DM: Multi-Instance RST with Drop-Max Layer for Robust Classification of Breast Cancer
- A Deep Learning-based Integrated Framework for Quality-aware Undersampled Cine Cardiac MRI Reconstruction and Analysis
- A Real Time 1280x720 Object Detection Chip With 585MB/s Memory Traffic
- RangeSeg: Range-Aware Real Time Segmentation of 3D LiDAR Point Clouds
- PSCNN: A 885.86 TOPS/W Programmable SRAM-based Computing-In-Memory Processor for Keyword Spotting
- Scheduling with Speed Predictions
- Using Constraint Programming and Graph Representation Learning for Generating Interpretable Cloud Security Policies
- A Performance-Consistent and Computation-Efficient CNN System for High-Quality Automated Brain Tumor Segmentation
- Triangular Dropout: Variable Network Width without Retraining
- One Weird Trick to Improve Your Semi-Weakly Supervised Semantic Segmentation Model
- TRUST XAI: Model-Agnostic Explanations for AI With a Case Study on IIoT Security
- ADDAI: Anomaly Detection using Distributed AI
- Retrieval-Enhanced Machine Learning
- Paragraph-based Transformer Pre-training for Multi-Sentence Inference
- COMET Flows: Towards Generative Modeling of Multivariate Extremes and Tail Dependence
- FINETUNA: Fine-tuning Accelerated Molecular Simulations
- Leveraging Stochastic Predictions of Bayesian Neural Networks for Fluid Simulations
- An improvement to a result about graph isomorphism networks using the prime factorization theorem
- Streaming Inference for Infinite Non-Stationary Clustering
- Applications of Deep Learning to the Design of Enhanced Wireless Communication Systems
- Multi-Task Text Classification using Graph Convolutional Networks for Large-Scale Low Resource Language
- NHA12D: A New Pavement Crack Dataset and a Comparison Study Of Crack Detection Algorithms
- Boosting Video Object Segmentation based on Scale Inconsistency
- Predicting Time-to-conversion for Dementia of Alzheimer's Type using Multi-modal Deep Survival Analysis
- Performance Weighting for Robust Federated Learning Against Corrupted Sources
- Using Machine Learning to Evaluate Real Estate Prices Using Location Big Data
- VAE-Loco: Versatile Quadruped Locomotion by Learning a Disentangled Gait Representation
- 3D Convolutional Neural Networks for Dendrite Segmentation Using Fine-Tuning and Hyperparameter Optimization
- The Theory of Artificial Immutability: Protecting Algorithmic Groups Under Anti-Discrimination Law
- Saliency map using features derived from spiking neural networks of primate visual cortex
- Reproducing Kernels and New Approaches in Compositional Data Analysis
- SELC: Self-Ensemble Label Correction Improves Learning with Noisy Labels
- Emotion-Controllable Generalized Talking Face Generation
- Cost-Aware Evaluation and Model Scaling for LiDAR-Based 3D Object Detection
- D-DPCC: Deep Dynamic Point Cloud Compression via 3D Motion Prediction
- Hausa Visual Genome: A Dataset for Multi-Modal English to Hausa Machine Translation
- Neurocompositional computing: From the Central Paradox of Cognition to a new generation of AI systems
- ComPhy: Compositional Physical Reasoning of Objects and Events from Videos
- Ensemble pruning via an integer programming approach with diversity constraints
- Incomplete Gamma Kernels: Generalizing Locally Optimal Projection Operators
- Wav2Seq: Pre-training Speech-to-Text Encoder-Decoder Models Using Pseudo Languages
- OPT: Open Pre-trained Transformer Language Models
- A Change Dynamic Model for the Online Detection of Gradual Change
- RANG: A Residual-based Adaptive Node Generation Method for Physics-Informed Neural Networks
- A Survey on Uncertainty Toolkits for Deep Learning
- HarmoF0: Logarithmic Scale Dilated Convolution For Pitch Estimation
- Open-Set Semi-Supervised Learning for 3D Point Cloud Understanding
- What Factors Should Paper-Reviewer Assignments Rely On? Community Perspectives on Issues and Ideals in Conference Peer-Review
- A walk through of time series analysis on quantum computers
- A Sharp Memory-Regret Trade-Off for Multi-Pass Streaming Bandits
- Quality-Aware Decoding for Neural Machine Translation
- Knowledge Graph Contrastive Learning for Recommendation
- Detection Recovery in Online Multi-Object Tracking with Sparse Graph Tracker
- Monocular 3D Fingerprint Reconstruction and Unwarping
- State-of-the-art in Open-domain Conversational AI: A Survey
- BERTops: Studying BERT Representations under a Topological Lens
- Leaf Tar Spot Detection Using RGB Images
- CCLF: A Contrastive-Curiosity-Driven Learning Framework for Sample-Efficient Reinforcement Learning
- Assessing unconstrained surgical cuttings in VR using CNNs
- Understanding CNNs from excitations
- Revisiting Gaussian Neurons for Online Clustering with Unknown Number of Clusters
- A Novel Speech-Driven Lip-Sync Model with CNN and LSTM
- AI-Driven Contextual Advertising: A Technology Report and Implication Analysis
- MemSeg: A semi-supervised method for image surface defect detection using differences and commonalities
- FastGCL: Fast Self-Supervised Learning on Graphs via Contrastive Neighborhood Aggregation
- Positive-Unlabeled Learning with Adversarial Data Augmentation for Knowledge Graph Completion
- Fast Continuous and Integer L-shaped Heuristics Through Supervised Learning
- On the generalization capabilities of FSL methods through domain adaptation: a case study in endoscopic kidney stone image classification
- Modeling and mitigation of occupational safety risks in dynamic industrial environments
- COSPLAY: Concept Set Guided Personalized Dialogue Generation Across Both Party Personas
- TuGeBiC: A Turkish German Bilingual Code-Switching Corpus
- WeatherBench Probability: A benchmark dataset for probabilistic medium-range weather forecasting along with deep learning baseline models
- Cross-Domain Correlation Distillation for Unsupervised Domain Adaptation in Nighttime Semantic Segmentation
- Lightweight Image Enhancement Network for Mobile Devices Using Self-Feature Extraction and Dense Modulation
- Model-based Deep Learning Receiver Design for Rate-Splitting Multiple Access
- Stability-driven Contact Reconstruction From Monocular Color Images
- APP-Net: Auxiliary-point-based Push and Pull Operations for Efficient Point Cloud Classification
- Gradient Descent, Stochastic Optimization, and Other Tales
- Exploration in Deep Reinforcement Learning: A Survey
- CenterCLIP: Token Clustering for Efficient Text-Video Retrieval
- Entity-aware Transformers for Entity Search
- A Novel Approach to Fairness in Automated Decision-Making using Affective Normalization
All 146
- Deep-Attack over the Deep Reinforcement Learning
- Seeding Diversity into AI Art
- On verifying expectations and observations of intelligent agents
- Zebra: Memory Bandwidth Reduction for CNN Accelerators With Zero Block Regularization of Activation Maps
- Sparse Compressed Spiking Neural Network Accelerator for Object Detection
- BSRA: Block-based Super Resolution Accelerator with Hardware Efficient Pixel Attention
- Large Neighborhood Search based on Neural Construction Heuristics
- Rethinking Gradient Operator for Exposing AI-enabled Face Forgeries
- Data-driven emotional body language generation for social robotics
- Superredundancy: A tool for Boolean formula minimization complexity analysis
- Point Cloud Compression with Sibling Context and Surface Priors
- Neutral Utterances are Also Causes: Enhancing Conversational Causal Emotion Entailment with Social Commonsense Knowledge
- VICE: Variational Interpretable Concept Embeddings
- Exposing Deepfake Face Forgeries with Guided Residuals
- Dual networks based 3D Multi-Person Pose Estimation from Monocular Video
- Smoothed Online Convex Optimization Based on Discounted-Normal-Predictor
- A Library Perspective on Nearly-Unsupervised Information Extraction Workflows in Digital Libraries
- 3D Object Detection with a Self-supervised Lidar Scene Flow Backbone
- Jam or Cream First? Modeling Ambiguity in Neural Machine Translation with SCONES
- DeepGraviLens: a Multi-Modal Architecture for Classifying Gravitational Lensing Data
- Unsupervised Denoising of Optical Coherence Tomography Images with Dual_Merged CycleWGAN
- A Multi-stage deep architecture for summary generation of soccer videos
- Contrastive Learning for Improving ASR Robustness in Spoken Language Understanding
- From Noisy Prediction to True Label: Noisy Prediction Calibration via Generative Model
- Deep Video Harmonization with Color Mapping Consistency
- Revisiting Classical Multiclass Linear Discriminant Analysis with a Novel Prototype-based Interpretable Solution
- Simple Techniques Work Surprisingly Well for Neural Network Test Prioritization and Active Learning (Replicability Study)
- An Application to Generate Style Guided Compatible Outfit
- Skeptical binary inferences in multi-label problems with sets of probabilities
- The Implicit Length Bias of Label Smoothing on Beam Search Decoding
- Debiased Contrastive Learning of Unsupervised Sentence Representations
- The Multivariate Community Hawkes Model for Dependent Relational Events in Continuous-time Networks
- A Two Parameters Equation for Word Rank-Frequency Relation
- Enhancing Adversarial Training with Feature Separability
- Robust Fine-tuning via Perturbation and Interpolation from In-batch Instances
- Design equivariant neural networks for 3D point cloud
- Re-defining Radiology Quality Assurance (QA) -- Artificial Intelligence (AI)-Based QA by Restricted Investigation of Unequal Scores (AQUARIUS)
- Deep fiber clustering: Anatomically informed fiber clustering with self-supervised deep learning for fast and effective tractography parcellation
- Community detection in multiplex networks based on orthogonal nonnegative matrix tri-factorization
- Teaching BERT to Wait: Balancing Accuracy and Latency for Streaming Disfluency Detection
- POLITICS: Pretraining with Same-story Article Comparison for Ideology Prediction and Stance Detection
- LoopStack: a Lightweight Tensor Algebra Compiler Stack
- Semantically Informed Slang Interpretation
- MUTR3D: A Multi-camera Tracking Framework via 3D-to-2D Queries
- Physics-aware Reduced-order Modeling of Transonic Flow via β-Variational Autoencoder
- Cluster-based Regression using Variational Inference and Applications in Financial Forecasting