Papers
Mon 4 Dec 2023
288 papers
- Generative AI in Writing Research Papers: A New Type of Algorithmic Bias and Uncertainty in Scholarly WorkLLM safety and security → Prompt injection and agent security
- FedBayes: A Zero-Trust Federated Learning Aggregation to Defend Against Adversarial AttacksLLM safety and security → Federated unlearning and poisoning
- New Evaluation Metrics Capture Quality Degradation due to LLM WatermarkingLLM safety and security → Watermarking generated content and models
- When is Offline Policy Selection Sample Efficient for Reinforcement Learning?Offline RL and imitation learning from data → Offline RL algorithms
- Visual Encoders for Data-Efficient Imitation Learning in Modern Video GamesOffline RL and imitation learning from data → Imitation learning methods
- MoE-AMC: Enhancing Automatic Modulation Classification Performance Using Mixture-of-ExpertsMixture-of-experts → Multimodal MoE models
- EMDM: Efficient Motion Diffusion Model for Fast and High-Quality Motion GenerationDiffusion models → Video generation
- Conditional Variational Diffusion ModelsDiffusion models → Diffusion foundations and sampling
- Geometrically-driven Aggregation for Zero-shot 3D Point Cloud UnderstandingMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- Contrastive Learning-Based Spectral Knowledge Distillation for Multi-Modality and Missing Modality Scenarios in Semantic SegmentationKnowledge distillation → Detection and dense prediction distillation
- X-Adapter: Adding Universal Compatibility of Plugins for Upgraded Diffusion ModelDiffusion models → Image generation, text-to-image and editing
- MedXChat: A Unified Multimodal Large Language Model Framework towards CXRs Understanding and GenerationMultimodal LLMs / vision-language models → Medical vision-language models
- PixelLM: Pixel Reasoning with Large Multimodal ModelLLM reasoning → Multimodal reasoning +1
- Latent Feature-Guided Diffusion Models for Shadow RemovalDiffusion models → 3D, point cloud and scene generation
- Readout Guidance: Learning Control from Diffusion FeaturesDiffusion models → Image generation, text-to-image and editing
- Repurposing Diffusion-Based Image Generators for Monocular Depth EstimationDiffusion models → 3D, point cloud and scene generation
- Competition-Level Problems are Effective LLM EvaluatorsLLM reasoning → Reasoning for agents, planning and code
- DiffiT: Diffusion Vision Transformers for Image GenerationDiffusion models → Diffusion foundations and sampling
- Tree of Attacks: Jailbreaking Black-Box LLMs AutomaticallyLLM safety and security → Jailbreaking
- TriDeNT: Triple Deep Network Training for Privileged Knowledge Distillation in HistopathologyKnowledge distillation → Distillation for medical imaging
- VideoSwap: Customized Video Subject Swapping with Interactive Semantic Point CorrespondenceDiffusion models → Video generation
- DUCK: Distance-based Unlearning via Centroid KinematicsLLM safety and security → Machine unlearning
- TimeChat: A Time-sensitive Multimodal Large Language Model for Long Video UnderstandingMultimodal LLMs / vision-language models → Video understanding with MLLMs
- Strong but simple: A Baseline for Domain Generalized Dense Perception by CLIP-based Transfer LearningMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- Action Inference by Maximising Evidence: Zero-Shot Imitation from Observation with World ModelsWorld models → Embodied and robot world models
- UniGS: Unified Representation for Image Generation and SegmentationDiffusion models → Medical imaging and segmentation
- Semantics-aware Motion Retargeting with Vision-Language ModelsMultimodal LLMs / vision-language models → Video understanding with MLLMs
- Distilled Self-Critique of LLMs with Synthetic Data: a Bayesian PerspectiveLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment +1
- Unsupervised Anomaly Detection using Aggregated Normative DiffusionDiffusion models → Medical imaging and segmentation
- InstructTA: Instruction-Tuned Targeted Attack for Large Vision-Language ModelsMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness
- Exchange-of-Thought: Enhancing Large Language Model Capabilities through Cross-Model CommunicationLLM reasoning → Reasoning benchmarks and evaluation
- Hybrid Approaches for Moral Value Alignment in AI Agents: a ManifestoLLM agents and tool use → General LLM agent frameworks and benchmarks +1
- Open-DDVM: A Reproduction and Extension of Diffusion Model for Optical Flow EstimationDiffusion models → Flow matching, time series and science
- Fully Spiking Denoising Diffusion Implicit ModelsDiffusion models → Diffusion foundations and sampling
- StableVITON: Learning Semantic Correspondence with Latent Diffusion Model for Virtual Try-OnDiffusion models → 3D, point cloud and scene generation
- Retrieval-augmented Multi-modal Chain-of-Thoughts Reasoning for Large Language ModelsLLM reasoning → Multimodal reasoning +1
- Mitigating Fine-Grained Hallucination by Fine-Tuning Large Vision-Language Models with Caption RewritesMultimodal LLMs / vision-language models → Hallucination mitigation in LVLMs
- ResEnsemble-DDPM: Residual Denoising Diffusion Probabilistic Models for Ensemble LearningDiffusion models → Diffusion foundations and sampling
- The Contemporary Art of Image Search: Iterative User Intent Expansion via Vision-Language ModelMultimodal LLMs / vision-language models → Document understanding and multimodal RAG
- Good Questions Help Zero-Shot Image ReasoningLLM reasoning → Multimodal reasoning +1
- How to Configure Good In-Context Sequence for Visual Question AnsweringMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- APoLLo: Unified Adapter and Prompt Learning for Vision Language ModelsMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- The Unlocking Spell on Base LLMs: Rethinking Alignment via In-Context LearningLLM reasoning → Reinforcement learning for reasoning +1
- Developing a Resource-Constraint EdgeAI model for Surface Defect Detection
- ImbaGCD: Imbalanced Generalized Category Discovery
- Generalized Categories Discovery for Long-tailed Recognition
- Rethinking Performance Measures of RNA Secondary Structure Problems
- Adaptive operator selection utilising generalised experience
- Large-scale Graph Representation Learning of Dynamic Brain Connectome with Transformers
- SC-GS: Sparse-Controlled Gaussian Splatting for Editable Dynamic Scenes
- Dynamic Collaborative Filtering for Matrix- and Tensor-based Recommender Systems
- Kunyu: A High-Performing Global Weather Model Beyond Regression Losses
- Intelligent Virtual Assistants with LLM-based Process Automation
- Assessing Neural Network Representations During Training Using Noise-Resilient Diffusion Spectral Entropy
- Stock Movement and Volatility Prediction from Tweets, Macroeconomic Factors and Historical Prices
- LineConGraphs: Line Conversation Graphs for Effective Emotion Recognition using Graph Neural Networks
- Near-real-time Earthquake-induced Fatality Estimation using Crowdsourced Data and Large-Language Models
- Analysis and mining of low-carbon and energy-saving tourism data characteristics based on machine learning algorithm
- A Waddington landscape for prototype learning in generalized Hopfield networks
- InstructBooth: Instruction-following Personalized Text-to-Image Generation
- I-PHYRE: Interactive Physical Reasoning
- Deep Reinforcement Learning for Community Battery Scheduling under Uncertainties of Load, PV Generation, and Energy Prices
- Multi-Weight Ranking for Multi-Criteria Decision Making
- Few-Shot Anomaly Detection with Adversarial Loss for Robust Feature Representations
- Learning Multi-graph Structure for Temporal Knowledge Graph Reasoning
- Explore, Select, Derive, and Recall: Augmenting LLM with Human-like Memory for Mobile Task Automation
- Unsupervised Change Detection for Space Habitats Using 3D Point Clouds
- Dissecting Medical Referral Mechanisms in Health Services: Role of Physician Professional Networks
- FaultFormer: Pretraining Transformers for Adaptable Bearing Fault Classification
- CityTFT: Temporal Fusion Transformer for Urban Building Energy Modeling
- On the Trade-Off between Stability and Representational Capacity in Graph Neural Networks
- RINAS: Training with Dataset Shuffling Can Be General and Fast
- Evaluating General Purpose Vision Foundation Models for Medical Image Analysis: An Experimental Study of DINOv2 on Radiology Benchmarks
- MEDPSeg: Hierarchical polymorphic multitask learning for the segmentation of ground-glass opacities, consolidation, and pulmonary structures on computed tomography
- Class-Discriminative Attention Maps for Vision Transformers
- PointNeRF++: A multi-scale, point-based Neural Radiance Field
- Peer attention enhances student learning
- Working Backwards: Learning to Place by Picking
- Instant Uncertainty Calibration of NeRFs Using a Meta-Calibrator
- CLIPDraw++: Text-to-Sketch Synthesis with Simple Primitives
- STEREOFOG -- Computational DeFogging via Image-to-Image Translation on a real-world Dataset
- Expressive Sign Equivariant Networks for Spectral Geometric Learning
- A Contrastive Compositional Benchmark for Text-to-Image Synthesis: A Study with Unified Text-to-Image Fidelity Metrics
- Measuring Distributional Shifts in Text: The Advantage of Language Model-Based Embeddings
- An Evaluation Framework for Mapping News Headlines to Event Classes in a Knowledge Graph
- Revisiting Topic-Guided Language Models
- FLea: Addressing Data Scarcity and Label Skew in Federated Learning via Privacy-preserving Feature Augmentation
- Cable Slack Detection for Arresting Gear Application using Machine Vision
- GNN2R: Weakly-Supervised Rationale-Providing Question Answering over Knowledge Graphs
- Fine-tuning pre-trained extractive QA models for clinical document parsing
- VaQuitA: Enhancing Alignment in LLM-Assisted Video Understanding
- Training Reinforcement Learning Agents and Humans With Difficulty-Conditioned Generators
- AdsorbRL: Deep Multi-Objective Reinforcement Learning for Inverse Catalysts Design
- Reconsideration on evaluation of machine learning models in continuous monitoring using wearables
- Cotton Yield Prediction Using Random Forest
- LLMs Accelerate Annotation for Medical Information Extraction
- You Can Run but not Hide: Improving Gait Recognition with Intrinsic Occlusion Type Awareness
- PatchFusion: An End-to-End Tile-Based Framework for High-Resolution Monocular Metric Depth Estimation
- A Near-Optimal Single-Loop Stochastic Algorithm for Convex Finite-Sum Coupled Compositional Optimization
- Scaling Laws in Jet Classification
All 288
- Re-Nerfing: Improving Novel View Synthesis through Novel View Synthesis
- Innovations in Agricultural Forecasting: A Multivariate Regression Study on Global Crop Yield Prediction
- Diversify, Don't Fine-Tune: Scaling Up Visual Recognition Training with Synthetic Images
- StoryGPT-V: Large Language Models as Consistent Story Visualizers
- Fine-Tuning Language Models for Context-Specific SQL Query Generation
- Recursive Visual Programming
- Towards early diagnosis of Alzheimer's disease: Advances in immune-related blood biomarkers and computational modeling approaches
- Federated Active Learning for Target Domain Generalisation
- FlowHON: Representing Flow Fields Using Higher-Order Networks
- Model-based Deep Learning for Beam Prediction based on a Channel Chart
- Singular Regularization with Information Bottleneck Improves Model's Adversarial Robustness
- Rethinking Adversarial Training with Neural Tangent Kernel
- CryoGEM: Physics-Informed Generative Cryo-Electron Microscopy
- HumanNeRF-SE: A Simple yet Effective Approach to Animate HumanNeRF with Diverse Poses
- Quality Diversity in the Amorphous Fortress (QD-AF): Evolving for Complexity in 0-Player Games
- A Simple and Scalable Representation for Graph Generation
- Synthetic Data Generation Techniques for Developing AI-based Speech Assessments for Parkinson's Disease (A Comparative Study)
- Improving Multimodal Sentiment Analysis: Supervised Angular Margin-based Contrastive Learning for Enhanced Fusion Representation
- Generating Action-conditioned Prompts for Open-vocabulary Video Action Recognition
- Digital Histopathology with Graph Neural Networks: Concepts and Explanations for Clinicians
- PaSCo: Urban 3D Panoptic Scene Completion with Uncertainty Awareness
- Mesh-Guided Neural Implicit Field Editing
- GPS-Gaussian: Generalizable Pixel-wise 3D Gaussian Splatting for Real-time Human Novel View Synthesis
- Aligning and Prompting Everything All at Once for Universal Visual Perception
- Steerers: A framework for rotation equivariant keypoint descriptors
- Guarding Barlow Twins Against Overfitting with Mixed Samples
- Generative Powers of Ten
- Rejuvenating image-GPT as Strong Visual Representation Learners
- Learning Polynomial Problems with SL(2,ℝ) Equivariance
- Optimizing Camera Configurations for Multi-View Pedestrian Detection
- Object Recognition as Next Token Prediction
- iMatching: Imperative Correspondence Learning
- MANUS: Markerless Grasp Capture using Articulated 3D Gaussians
- BerfScene: Bev-conditioned Equivariant Radiance Fields for Infinite 3D Scene Generation
- Fast View Synthesis of Casual Videos with Soup-of-Planes
- GaussianAvatar: Towards Realistic Human Avatar Modeling from a Single Video via Animatable 3D Gaussians
- Style Aligned Image Generation via Shared Attention
- Hot PATE: Private Aggregation of Distributions for Diverse Task
- Can we truly transfer an actor's genuine happiness to avatars? An investigation into virtual, real, posed and spontaneous faces
- SplaTAM: Splat, Track & Map 3D Gaussians for Dense RGB-D SLAM
- TPPoet: Transformer-Based Persian Poem Generation using Minimal Data and Advanced Decoding Techniques
- VerA: Versatile Anonymization Applicable to Clinical Facial Photographs
- Mathematical Supplement for the textttgsplat Library
- Magicoder: Empowering Code Generation with OSS-Instruct
- When it Rains, it Pours: Modeling Media Storms and the News Ecosystem
- GIVT: Generative Infinite-Vocabulary Transformers
- ArtAdapter: Text-to-Image Style Transfer using Multi-Level Style Encoder and Explicit Adaptation
- Authoring Worked Examples for Java Programming with Human-AI Collaboration
- Learning Pseudo-Labeler beyond Noun Concepts for Open-Vocabulary Object Detection
- Mitigating Data Injection Attacks on Federated Learning
- Single-sample versus case-control sampling scheme for Positive Unlabeled data: the story of two scenarios
- Physics simulation capabilities of LLMs
- Deep Set Neural Networks for forecasting asynchronous bioprocess timeseries
- From Lab to Field: Real-World Evaluation of an AI-Driven Smart Video Solution to Enhance Community Safety
- Federated Learning is Better with Non-Homomorphic Encryption
- A Glitch in the Matrix? Locating and Detecting Language Model Grounding with Fakepedia
- GaussianAvatars: Photorealistic Head Avatars with Rigged 3D Gaussians
- Know Your Audience: Do LLMs Adapt to Different Age and Education Levels?
- The GPU Phase Folding and Deep Learning Method for Detecting Exoplanet Transits
- GFS: Graph-based Feature Synthesis for Prediction over Relational Databases
- Implicit Learning of Scene Geometry from Poses for Global Localization
- Stochastic Optimal Control Matching
- A multi-channel cycleGAN for CBCT to CT synthesis
- ColonNeRF: High-Fidelity Neural Reconstruction of Long Colonoscopy
- Optimal Data Generation in Multi-Dimensional Parameter Spaces, using Bayesian Optimization
- Towards Learning a Generalist Model for Embodied Navigation
- A Survey on Large Language Model (LLM) Security and Privacy: The Good, the Bad, and the Ugly
- SRTransGAN: Image Super-Resolution using Transformer based Generative Adversarial Network
- Language-only Efficient Training of Zero-shot Composed Image Retrieval
- A Generative Self-Supervised Framework using Functional Connectivity in fMRI Data
- Shapley-Based Data Valuation with Mutual Information: A Key to Modified K-Nearest Neighbors
- SARA-RT: Scaling up Robotics Transformers with Self-Adaptive Robust Attention
- Bootstrapping SparseFormers from Vision Foundation Models
- Learning-Based Approaches to Predictive Monitoring with Conformal Statistical Guarantees
- Zero- and Few-Shots Knowledge Graph Triplet Extraction with Large Language Models
- Maximising Quantum-Computing Expressive Power through Randomised Circuits
- Instance-guided Cartoon Editing with a Large-scale Dataset
- Intrusion Detection System with Machine Learning and Multiple Datasets
- Foundations for Transfer in Reinforcement Learning: A Taxonomy of Knowledge Modalities
- Coefficient Shape Alignment in Multiple Functional Linear Regression
- A Machine Learning Approach Towards SKILL Code Autocompletion
- COTR: Compact Occupancy TRansformer for Vision-based 3D Occupancy Prediction
- Learning Robust Representations via Bidirectional Transition for Visual Reinforcement Learning
- Unlocking optimal batch size schedules using continuous-time control and perturbation theory
- Adapting Short-Term Transformers for Action Detection in Untrimmed Videos
- Non-Intrusive Load Monitoring for Feeder-Level EV Charging Detection: Sliding Window-based Approaches to Offline and Online Detection
- Correlation and Unintended Biases on Univariate and Multivariate Decision Trees
- Unleashing the Potential of Large Language Model: Zero-shot VQA for Flood Disaster Scenario
- Bayesian Nonlinear Regression using Sums of Simple Functions
- HGPROMPT: Bridging Homogeneous and Heterogeneous Graphs for Few-shot Prompt Learning
- FeaInfNet: Diagnosis in Medical Image with Feature-Driven Inference and Visual Explanations
- Unveiling Objects with SOLA: An Annotation-Free Image Search on the Object Level for Automotive Data Sets
- Evaluating Dependencies in Fact Editing for Language Models: Specificity and Implication Awareness
- Modular Control Architecture for Safe Marine Navigation: Reinforcement Learning and Predictive Safety Filters
- Robot Synesthesia: In-Hand Manipulation with Visuotactile Sensing
- Generalization by Adaptation: Diffusion-Based Domain Extension for Domain-Generalized Semantic Segmentation
- Exploring the Viability of Synthetic Audio Data for Audio-Based Dialogue State Tracking
- VividTalk: One-Shot Audio-Driven Talking Head Generation Based on 3D Hybrid Prior
- Prompting Disentangled Embeddings for Knowledge Graph Completion with Pre-trained Language Model
- Integrated Drill Boom Hole-Seeking Control via Reinforcement Learning
- Few Clicks Suffice: Active Test-Time Adaptation for Semantic Segmentation
- Equivariant plug-and-play image reconstruction
- Class Symbolic Regression: Gotta Fit 'Em All
- Energy-based Potential Games for Joint Motion Forecasting and Control
- Collaborative Neural Painting
- LLM A*: Human in the Loop Large Language Models Enabled A* Search for Robotics
- Distributed Continual Learning with CoCoA in High-dimensional Linear Regression
- Wild-Tab: A Benchmark For Out-Of-Distribution Generalization In Tabular Regression
- MMFusion: Combining Image Forensic Filters for Visual Manipulation Detection and Localization
- Two-stage optimized unified adversarial patch for attacking visible-infrared cross-modal detectors in the physical world
- Developing Linguistic Patterns to Mitigate Inherent Human Bias in Offensive Language Detection
- IMProv: Inpainting-based Multimodal Prompting for Computer Vision Tasks
- Localizing and Assessing Node Significance in Default Mode Network using Sub-Community Detection in Mild Cognitive Impairment
- Dynamic Erasing Network Based on Multi-Scale Temporal Features for Weakly Supervised Video Anomaly Detection
- Light Field Imaging in the Restrictive Object Space based on Flexible Angular Plane
- CILF-CIAE: CLIP-driven Image-Language Fusion for Correcting Inverse Age Estimation
- A Comprehensive Literature Review on Sweet Orange Leaf Diseases
- Long-Tail Learning with Rebalanced Contrastive Loss
- Cybersecurity threats in FinTech: A systematic review
- Cross-Modal Adaptive Dual Association for Text-to-Image Person Retrieval
- SRSNetwork: Siamese Reconstruction-Segmentation Networks based on Dynamic-Parameter Convolution
- MobileUtr: Revisiting the relationship between light-weight CNN and Transformer for efficient medical image segmentation
- Divide-and-Conquer Strategy for Large-Scale Dynamic Bayesian Network Structure Learning
- Effective Adapter for Face Recognition in the Wild
- Likelihood-Aware Semantic Alignment for Full-Spectrum Out-of-Distribution Detection
- EdgeConvFormer: Dynamic Graph CNN and Transformer based Anomaly Detection in Multivariate Time Series
- ImputeFormer: Low Rankness-Induced Transformers for Generalizable Spatiotemporal Imputation
- Simultaneous Alignment and Surface Regression Using Hybrid 2D-3D Networks for 3D Coherent Layer Segmentation of Retinal OCT Images with Full and Sparse Annotations
- The Self-Loop Paradox: Investigating the Impact of Self-Loops on Graph Neural Networks
- Disentangled Interaction Representation for One-Stage Human-Object Interaction Detection
- Regressor-Segmenter Mutual Prompt Learning for Crowd Counting
- Data Management For Training Large Language Models: A Survey
- Rethinking Urban Mobility Prediction: A Super-Multivariate Time Series Forecasting Approach
- Hulk: A Universal Knowledge Translator for Human-Centric Tasks
- BEVNeXt: Reviving Dense BEV Frameworks for 3D Object Detection
- Risk-Controlling Model Selection via Guided Bayesian Optimization
- Estimating Coronal Mass Ejection Mass and Kinetic Energy by Fusion of Multiple Deep-learning Models
- Fast and accurate sparse-view CBCT reconstruction using meta-learned neural attenuation field and hash-encoding regularization
- Optimizing Bus Travel: A Novel Approach to Feature Mining with P-KMEANS and P-LDA Algorithms
- Adversarial Medical Image with Hierarchical Feature Hiding
- Jellyfish: A Large Language Model for Data Preprocessing
- Multi-task Image Restoration Guided By Robust DINO Features
- EDALearn: A Comprehensive RTL-to-Signoff EDA Benchmark for Democratized and Reproducible ML for EDA Research
- STADEE: STAtistics-based DEEp Detection of Machine Generated Text
- Multimodality-guided Image Style Transfer using Cross-modal GAN Inversion
- Analyze Drivers' Intervention Behavior During Autonomous Driving -- A VR-incorporated Approach
- Customize your NeRF: Adaptive Source Driven 3D Scene Editing via Local-Global Iterative Training
- Universal Deoxidation of Semiconductor Substrates Assisted by Machine-Learning and Real-Time-Feedback-Control
- ChatGPT as a Math Questioner? Evaluating ChatGPT on Generating Pre-university Math Questions
- RiskBench: A Scenario-based Benchmark for Risk Identification
- AGD: an Auto-switchable Optimizer using Stepwise Gradient Difference for Preconditioning Matrix
- On Tuning Neural ODE for Stability, Consistency and Faster Convergence
- QPMeL - Quantum-Aware Classically-Trained Embeddings via Projective Metric Learning
- An End-to-End Network Pruning Pipeline with Sparsity Enforcement
- Adaptive Confidence Threshold for ByteTrack in Multi-Object Tracking
- Characterizing Large Language Model Geometry Helps Solve Toxicity Detection and Generation
- TMSR: Tiny Multi-path CNNs for Super Resolution
- Voice-Based Smart Assistant System for Vehicles using RASA
- SequencePAR: Understanding Pedestrian Attributes via A Sequence Generation Paradigm
- J-Net: Improved U-Net for Terahertz Image Super-Resolution
- Robust Streaming, Sampling, and a Perspective on Online Learning
- GaussianHead: High-fidelity Head Avatars with Learnable Gaussian Derivation
- CLAMP: Contrastive LAnguage Model Prompt-tuning
- GVFs in the Real World: Making Predictions Online for Water Treatment
- Universal Segmentation at Arbitrary Granularity with Language Instruction
- How Many Validation Labels Do You Need? Exploring the Design Space of Label-Efficient Model Ranking
- SchurVINS: Schur Complement-Based Lightweight Visual Inertial Navigation System
- xNeuSM: Explainable Neural Subgraph Matching with Graph Learnable Multi-hop Attention Networks
- Investigating the ability of deep learning to predict Welding Depth and Pore Volume in Hairpin Welding
- TextAug: Test time Text Augmentation for Multimodal Person Re-identification
- Local-Global History-aware Contrastive Learning for Temporal Knowledge Graph Reasoning
- SCLIP: Rethinking Self-Attention for Dense Vision-Language Inference
- Expand BERT Representation with Visual Information via Grounded Language Learning with Multimodal Partial Alignment
- ActiveClean: Generating Line-Level Vulnerability Data via Active Learning
- Scalable and Independent Learning of Nash Equilibrium Policies in n-Player Stochastic Games with Unknown Independent Chains
- OCGEC: One-class Graph Embedding Classification for DNN Backdoor Detection
- Explaining with Contrastive Phrasal Highlighting: A Case Study in Assisting Humans to Detect Translation Differences
- PLUM: Improving Inference Efficiency By Leveraging Repetition-Sparsity Trade-Off
- RJHMC-Tree for Exploration of the Bayesian Decision Tree Posterior
- Learning Efficient Unsupervised Satellite Image-based Building Damage Detection
- A Challenging Multimodal Video Summary: Simultaneously Extracting and Generating Keyframe-Caption Pairs from Video
- Survey on deep learning in multimodal medical imaging for cancer detection
- Toward Automated Quantum Variational Machine Learning
- Multi-View Person Matching and 3D Pose Estimation with Arbitrary Uncalibrated Camera Networks
- Hyperspectral Image Compression Using Sampling and Implicit Neural Representations
- Explainable AI is Responsible AI: How Explainability Creates Trustworthy and Socially Responsible Artificial Intelligence
- Near-Optimal Algorithms for Gaussians with Huber Contamination: Mean Estimation and Linear Regression
- KEEC: Koopman Embedded Equivariant Control