Papers
Sat 21 May 2022
97 papers
- User-Interactive Offline Reinforcement LearningOffline RL and imitation learning from data → Offline RL algorithms
- Least-to-Most Prompting Enables Complex Reasoning in Large Language ModelsLLM reasoning → Prompting and chain-of-thought reasoning
- Retrieval-Augmented Multilingual Keyphrase Generation with Retriever-Generator Iterative TrainingRetrieval-augmented generation → Generation and context integration
- Reinforced Pedestrian Attribute Recognition with Group Optimization Reward
- Principled Knowledge Extrapolation with GANs
- Exploring Concept Contribution Spatially: Hidden Layer Interpretation with Spatial Activation Concept Vector
- Life after BERT: What do Other Muppets Understand about Language?
- All You Need Is Logs: Improving Code Completion by Learning from Anonymous IDE Usage Logs
- Producing Histopathology Phantom Images using Generative Adversarial Networks to improve Tumor Detection
- Diversity Preference-Aware Link Recommendation for Online Social Networks
- Co-design of Embodied Neural Intelligence via Constrained Evolution
- Revisiting Pre-trained Language Models and their Evaluation for Arabic Natural Language Understanding
- Interpreting Neural Min-Sum Decoders
- Scalable and Efficient Training of Large Convolutional Neural Networks with Differential Privacy
- A Novel Markov Model for Near-Term Railway Delay Prediction
- On the problem of entity matching and its application in automated settlement of receivables
- Risk-Driven Design of Perception Systems
- NS3: Neuro-Symbolic Semantic Code Search
- Multi-task Learning for Gaussian Graphical Regressions with High Dimensional Covariates
- Pessimism for Offline Linear Contextual Bandits using ℓp Confidence Sets
- Online Coreference Resolution for Dialogue Processing: Improving Mention-Linking on Real-Time Conversations
- Individual Topology Structure of Eye Movement Trajectories
- MultiBiSage: A Web-Scale Recommendation System Using Multiple Bipartite Graphs at Pinterest
- Temporal Domain Generalization with Drift-Aware Dynamic Neural Networks
- Transformer based Generative Adversarial Network for Liver Segmentation
- Equivariant Mesh Attention Networks
- An Empirical Investigation of Commonsense Self-Supervision with Knowledge Graphs
- Vision Transformers in 2022: An Update on Tiny ImageNet
- Swept-Angle Synthetic Wavelength Interferometry
- Towards real-time and energy efficient Siamese tracking -- a hardware-software approach
- Are Message Passing Neural Networks Really Helpful for Knowledge Graph Completion?
- Tensor Shape Search for Optimum Data Compression
- Transformer-based out-of-distribution detection for clinically safe segmentation
- Context Matters for Image Descriptions for Accessibility: Challenges for Referenceless Evaluation Metrics
- Self-Supervised Speech Representation Learning: A Review
- MetaNet: Automated Dynamic Selection of Scheduling Policies in Cloud Environments
- Symmetry Teleportation for Accelerated Optimization
- AutoLink: Self-supervised Learning of Human Skeletons and Object Outlines by Linking Keypoints
- SplitPlace: AI Augmented Splitting and Placement of Large-Scale Neural Networks in Mobile Edge Environments
- DProQ: A Gated-Graph Transformer for Protein Complex Structure Assessment
- CEP3: Community Event Prediction with Neural Point Process on Graph
- Learning Meta Representations of One-shot Relations for Temporal Knowledge Graph Link Prediction
- A Pilot Study of Relating MYCN-Gene Amplification with Neuroblastoma-Patient CT Scans
- Gradient Concealment: Free Lunch for Defending Adversarial Attacks
- Lightweight Human Pose Estimation Using Heatmap-Weighting Loss
- Coordinating Policies Among Multiple Agents via an Intelligent Communication Channel
- Brain Cortical Functional Gradients Predict Cortical Folding Patterns via Attention Mesh Convolution
- Myocardial Segmentation of Late Gadolinium Enhanced MR Images by Propagation of Contours from Cine MR Images
- Few-Shot Natural Language Inference Generation with PDD: Prompt and Dynamic Demonstration
- Facing the Void: Overcoming Missing Data in Multi-View Imagery
- A comprehensive survey on semantic facial attribute editing using generative adversarial networks
- Calibration of Natural Language Understanding Models with Venn--ABERS Predictors
- Evaluating Performance of Machine Learning Models for Diabetic Sensorimotor Polyneuropathy Severity Classification using Biomechanical Signals during Gait
- Boosting Camouflaged Object Detection with Dual-Task Interactive Transformer
- Multi-feature Co-learning for Image Inpainting
- Non-Autoregressive Neural Machine Translation: A Call for Clarity
- UVA Resources for the Biomedical Vocabulary Alignment at Scale in the UMLS Metathesaurus
- A Comprehensive 3-D Framework for Automatic Quantification of Late Gadolinium Enhanced Cardiac Magnetic Resonance Images
- ADT-SSL: Adaptive Dual-Threshold for Semi-Supervised Learning
- HLATR: Enhance Multi-stage Text Retrieval with Hybrid List Aware Transformer Reranking
- Unsupervised Sign Language Phoneme Clustering using HamNoSys Notation
- CORAL: Contextual Response Retrievability Loss Function for Training Dialog Generation Models
- Cycle-GAN for eye-tracking
- Robot Person Following in Uniform Crowd Environment
- KGNN: Harnessing Kernel-based Networks for Semi-supervised Graph Classification
- Three-Dimensional Segmentation of the Left Ventricle in Late Gadolinium Enhanced MR Images of Chronic Infarction Combining Long- and Short-Axis Information
- Improvements to Self-Supervised Representation Learning for Masked Image Modeling
- Neuroevolutionary Feature Representations for Causal Inference
- On the Feasibility and Generality of Patch-based Adversarial Attacks on Semantic Segmentation Problems
- Automated machine learning: AI-driven decision making in business analytics
- Knowledge Distillation from A Stronger Teacher
- Deep Learning vs. Gradient Boosting: Benchmarking state-of-the-art machine learning algorithms for credit scoring
- Scenario-based Multi-product Advertising Copywriting Generation for E-Commerce
- Fine-Grained Visual Classification using Self Assessment Classifier
- PointVector: A Vector Representation In Point Cloud Analysis
- Pre-training Data Quality and Quantity for a Low-Resource Language: New Corpus and BERT Models for Maltese
- Visualizing CoAtNet Predictions for Aiding Melanoma Detection
- Computable Artificial General Intelligence
- Improving Long Tailed Document-Level Relation Extraction via Easy Relation Augmentation and Contrastive Learning
- Travel Time, Distance and Costs Optimization for Paratransit Operations using Graph Convolutional Neural Network
- A Study on Transformer Configuration and Training Objective
- How to Find Actionable Static Analysis Warnings: A Case Study with FindBugs
- Making Video Quality Assessment Models Sensitive to Frame Rate Distortions
- Named Entity Linking with Entity Representation by Multiple Embeddings
- eBIM-GNN : Fast and Scalable energy analysis through BIMs and Graph Neural Networks
- Enriched Robust Multi-View Kernel Subspace Clustering
- Theoretically Accurate Regularization Technique for Matrix Factorization based Recommender Systems
- LSTM-Based Adaptive Vehicle Position Control for Dynamic Wireless Charging
- Aligning Logits Generatively for Principled Black-Box Knowledge Distillation
- Scaling Laws and Interpretability of Learning from Repeated Data
- Nuclear Norm Maximization Based Curiosity-Driven Learning
- Semi-Supervised Subspace Clustering via Tensor Low-Rank Representation
- DEER: Descriptive Knowledge Graph for Explaining Entity Relationships
- DeepStruct: Pretraining of Language Models for Structure Prediction
- De novo design of protein target specific scaffold-based Inhibitors via Reinforcement Learning
- Masterful: A Training Platform for Computer Vision Models
- Deep Learning for Omnidirectional Vision: A Survey and New Perspectives