Papers
Sat 25 Mar 2023
143 papers
- Embedding Contextual Information through Reward Shaping in Multi-Agent Learning: A Case Study from Google FootballOffline RL and imitation learning from data → Imitation learning methods
- Supervised Masked Knowledge Distillation for Few-Shot TransformersKnowledge distillation → General knowledge distillation methods
- Selective Structured State-Spaces for Long-Form Video UnderstandingState-space sequence models (S4, Mamba) → Video, motion and generative Mamba models +1
- Equivariant Similarity for Vision-Language Foundation ModelsMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- Task-Attentive Transformer Architecture for Continual Learning of Vision-and-Language Tasks Using Knowledge DistillationKnowledge distillation → Distillation for continual learning
- Human Preference Score: Better Aligning Text-to-Image Models with Human PreferenceDiffusion models → Diffusion and flow policies for robotics +1
- Freestyle Layout-to-Image SynthesisDiffusion models → Image generation, text-to-image and editing
- IFSeg: Image-free Semantic Segmentation via Vision-Language ModelMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- MDTv2: Masked Diffusion Transformer is a Strong Image SynthesizerLLM reasoning → Diffusion reasoning and test-time scaling +1
- Multi-view knowledge distillation transformer for human action recognitionKnowledge distillation → General knowledge distillation methods
- Dealing With Heterogeneous 3D MR Knee Images: A Federated Few-Shot Learning Method With Dual Knowledge DistillationKnowledge distillation → Federated, robust and private distillation
- DiracDiffusion: Denoising and Incremental Reconstruction with Assured Data-ConsistencyDiffusion models → Inverse problems and image restoration
- Backdoor Attacks with Input-unique Triggers in NLPLLM safety and security → Backdoor and data poisoning attacks
- Feature Embedding Clustering using POCS-based Clustering Algorithm
- LVQAC: Lattice Vector Quantization Coupled with Spatially Adaptive Companding for Efficient Learned Image Compression
- Passive Radio Frequency-based 3D Indoor Positioning System via Ensemble Learning
- A New Paradigm for Device-free Indoor Localization: Deep Learning with Error Vector Spectrum in Wi-Fi Systems
- Two Heads are Better than One: A Bio-inspired Method for Improving Classification on EEG-ET Data
- Distributed Multi-Agent Deep Q-Learning for Fast Roaming in IEEE 802.11ax Wi-Fi Systems
- Can We Revitalize Interventional Healthcare with AI-XR Surgical Metaverses?
- A Desynchronization-Based Countermeasure Against Side-Channel Analysis of Neural Networks
- AdvCheck: Characterizing Adversarial Examples via Local Gradient Checking
- Edge Ranking of Graphs in Transportation Networks using a Graph Neural Network (GNN)
- Quantum Generative Modeling using Parameterized Quantum Circuits
- CADM: Confusion Model-based Detection Method for Real-drift in Chunk Data Stream
- Thistle: A Vector Database in Rust
- Behavioral Machine Learning? Regularization and Forecast Bias
- Energy-efficient Task Adaptation for NLP Edge Inference Leveraging Heterogeneous Memory Architectures
- Edge Selection and Clustering for Federated Learning in Optical Inter-LEO Satellite Constellation
- Can Large Language Models assist in Hazard Analysis?
- Learning Rotation-Equivariant Features for Visual Correspondence
- CAMS: CAnonicalized Manipulation Spaces for Category-Level Functional Hand-Object Manipulation Synthesis
- Enlarging Instance-specific and Class-specific Information for Open-set Action Recognition
- Exactly mergeable summaries
- Fine-Tashkeel: Finetuning Byte-Level Models for Accurate Arabic Text Diacritization
- PAniC-3D: Stylized Single-view 3D Reconstruction from Portraits of Anime Characters
- DeepVecFont-v2: Exploiting Transformers to Synthesize Vector Fonts with Higher Quality
- Learning video embedding space with Natural Language Supervision
- Identification of Negative Transfers in Multitask Learning Using Surrogate Models
- Shapley-based Explainable AI for Clustering Applications in Fault Diagnosis and Prognosis
- Automatic Generation of Multiple-Choice Questions
- VisCo Grids: Surface Reconstruction with Viscosity and Coarea Grids
- Measuring Classification Decision Certainty and Doubt
- Image Moment Invariants to Rotational Motion Blur
- Deep Kernel Methods Learn Better: From Cards to Process Optimization
- Complexity-calibrated Benchmarks for Machine Learning Reveal When Next-Generation Reservoir Computer Predictions Succeed and Mislead
- Spatial Latent Representations in Generative Adversarial Networks for Image Generation
- Viewpoint Equivariance for Multi-View 3D Object Detection
- Topological Pooling on Graphs
- UnScene3D: Unsupervised 3D Instance Segmentation for Indoor Scenes
- Deep Augmentation: Dropout as Augmentation for Self-Supervised Learning
- SUDS: Scalable Urban Dynamic Scenes
- EfficientAD: Accurate Visual Anomaly Detection at Millisecond-Level Latencies
- SIO: Synthetic In-Distribution Data Benefits Out-of-Distribution Detection
- Chat-REC: Towards Interactive and Explainable LLMs-Augmented Recommender System
- Waste Detection and Change Analysis based on Multispectral Satellite Imagery
- Stochastic Model Predictive Control Utilizing Bayesian Neural Networks
- Indonesian Text-to-Image Synthesis with Sentence-BERT and FastGAN
- OVeNet: Offset Vector Network for Semantic Segmentation
- Improving robustness of jet tagging algorithms with adversarial training: exploring the loss surface
- Toward DNN of LUTs: Learning Efficient Image Restoration with Multiple Look-Up Tables
- Unsupervised Inference of Signed Distance Functions from Single Sparse Point Clouds without Learning Priors
- Link Prediction for Flow-Driven Spatial Networks
- Visual-Tactile Sensing for In-Hand Object Reconstruction
- Learning with Explanation Constraints
- Adaptive Sparse Convolutional Networks with Global Context Enhancement for Faster Object Detection on Drone Images
- Spatio-Temporal Graph Neural Networks for Predictive Learning in Urban Computing: A Survey
- Diverse Embedding Expansion Network and Low-Light Cross-Modality Benchmark for Visible-Infrared Person Re-identification
- GANTEE: Generative Adversatial Network for Taxonomy Entering Evaluation
- Explainable Image Quality Assessment for Medical Imaging
- DBARF: Deep Bundle-Adjusting Generalizable Neural Radiance Fields
- Informed Machine Learning, Centrality, CNN, Relevant Document Detection, Repatriation of Indigenous Human Remains
- 3Mformer: Multi-order Multi-mode Transformer for Skeletal Action Recognition
- HQ3DAvatar: High Quality Controllable 3D Head Avatar
- Compacting Binary Neural Networks by Sparse Kernel Selection
- Autoregressive Conditional Neural Processes
- A Survey on the Densest Subgraph Problem and Its Variants
- Verifying Properties of Tsetlin Machines
- Indian Language Summarization using Pretrained Sequence-to-Sequence Models
- CFA: Class-wise Calibrated Fair Adversarial Training
- Diverse Motion In-betweening with Dual Posture Stitching
- Federated Learning without Full Labels: A Survey
- COFFEE: A Contrastive Oracle-Free Framework for Event Extraction
- MultiTalent: A Multi-Dataset Approach to Medical Image Segmentation
- No more Reviewer #2: Subverting Automatic Paper-Reviewer Assignment using Adversarial Learning
- Design of a Smart Waste Management System for the City of Johannesburg
- NeRF-DS: Neural Radiance Fields for Dynamic Specular Objects
- Heat flux for semi-local machine-learning potentials
- Deep Active Learning with Contrastive Learning Under Realistic Data Pool Assumptions
- Beta-VAE has 2 Behaviors: PCA or ICA?
- Shot Noise Reduction in Radiographic and Tomographic Multi-Channel Imaging with Self-Supervised Deep Learning
- Sem4SAP: Synonymous Expression Mining From Open Knowledge Graph For Language Model Synonym-Aware Pretraining
- Spatially-aware station based car-sharing demand prediction
- Fairness meets Cross-Domain Learning: a new perspective on Models and Metrics
- Vision Models Can Be Efficiently Specialized via Few-Shot Task-Aware Compression
- VL-SAT: Visual-Linguistic Semantics Assisted Training for 3D Semantic Scene Graph Prediction in Point Cloud
- LPFF: A Portrait Dataset for Face Generators Across Large Poses
- Natural Language Processing in Ethiopian Languages: Current State, Challenges, and Opportunities
- Bridging Precision and Confidence: A Train-Time Loss for Calibrating Object Detection
- Deep Linear Discriminant Analysis with Variation for Polycystic Ovary Syndrome Classification
All 143
- MDQE: Mining Discriminative Query Embeddings to Segment Occluded Instances on Challenging Videos
- Multi-pooling 3D Convolutional Neural Network for fMRI Classification of Visual Brain States
- Prompt-Guided Transformers for End-to-End Open-Vocabulary Object Detection
- Reliability-Hierarchical Memory Network for Scribble-Supervised Video Object Segmentation
- Active Finetuning: Exploiting Annotation Budget in the Pretraining-Finetuning Paradigm
- 3D Facial Imperfection Regeneration: Deep learning approach and 3D printing prototypes
- Instant Domain Augmentation for LiDAR Semantic Segmentation
- Unsupervised Domain Adaption with Pixel-level Discriminator for Image-aware Layout Generation
- ViPFormer: Efficient Vision-and-Pointcloud Transformer for Unsupervised Pointcloud Understanding
- Knowledge-augmented Frame Semantic Parsing with Hybrid Prompt-tuning
- DoNet: Deep De-overlapping Network for Cytology Instance Segmentation
- A Registration- and Uncertainty-based Framework for White Matter Tract Segmentation With Only One Annotated Subject
- Video-Text as Game Players: Hierarchical Banzhaf Interaction for Cross-Modal Representation Learning
- FlexNeRF: Photorealistic Free-viewpoint Rendering of Moving Humans from Sparse Views
- Hybrid Fuzzy-Crisp Clustering Algorithm: Theory and Experiments
- Heuristic Search for Multi-Objective Probabilistic Planning
- Spatio-Temporal Pixel-Level Contrastive Learning-based Source-Free Domain Adaptation for Video Semantic Segmentation
- Both Style and Distortion Matter: Dual-Path Unsupervised Domain Adaptation for Panoramic Semantic Segmentation
- Intelligent Load Balancing and Resource Allocation in O-RAN: A Multi-Agent Multi-Armed Bandit Approach
- Hierarchical Multi-Agent Multi-Armed Bandit for Resource Allocation in Multi-LEO Satellite Constellation Networks
- Causal Image Synthesis of Brain MR in 3D
- Zero-Shot Everything Sketch-Based Image Retrieval, and in Explainable Style
- Vision-based Vineyard Navigation Solution with Automatic Annotation
- Collaborative Multi-Object Tracking with Conformal Uncertainty Propagation
- Analyzing the Performance of GPT-3.5 and GPT-4 in Grammatical Error Correction
- Towards Accurate Post-Training Quantization for Vision Transformer
- From G"odel's Incompleteness Theorem to the completeness of bot beliefs (Extended abstract)
- SmartBook: AI-Assisted Situation Report Generation for Intelligence Analysts
- GPU-accelerated Matrix Cover Algorithm for Multiple Patterning Layout Decomposition
- The Semantic Reader Project: Augmenting Scholarly Documents through AI-Powered Interactive Reading Interfaces
- Train/Test-Time Adaptation with Retrieval
- Using Simple Incentives to Improve Two-Sided Fairness in Ridesharing Systems
- Edge-Based Video Analytics: A Survey
- Incorporating Transformer Designs into Convolutions for Lightweight Image Super-Resolution
- Spatio-Temporal driven Attention Graph Neural Network with Block Adjacency matrix (STAG-NN-BA) for Remote Land-use Change Detection
- Adaptive Bi-Recommendation and Self-Improving Network for Heterogeneous Domain Adaptation-Assisted IoT Intrusion Detection
- Feature Tracks are not Zero-Mean Gaussian
- Learned Two-Plane Perspective Prior based Image Resampling for Efficient Object Detection
- GPT is becoming a Turing machine: Here are some ways to program it
- The Challenges of Studying Misinformation on Video-Sharing Platforms During Crises and Mass-Convergence Events
- Auto-AVSR: Audio-Visual Speech Recognition with Automatic Labels
- Ensemble-based Blackbox Attacks on Dense Prediction
- Unsupervised Feature Selection to Identify Important ICD-10 Codes for Machine Learning: A Case Study on a Coronary Artery Disease Patient Cohort