Papers
Tue 19 Dec 2023
302 papers
- Efficient LLM inference solution on Intel GPUEfficient LLM inference and serving → Serving systems and request scheduling
- Large Language Models in Medical Term Classification and Unexpected Misalignment Between Response and ReasoningLLM reasoning → Clinical and biomedical applications
- Find the Lady: Permutation and Re-Synchronization of Deep Neural NetworksLLM safety and security → Watermarking generated content and models
- RealGen: Retrieval Augmented Generation for Controllable Traffic ScenariosRetrieval-augmented generation → Multimodal RAG
- Expediting Contrastive Language-Image Pretraining via Self-distilled EncodersMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- Surf-CDM: Score-Based Surface Cold-Diffusion Model For Medical Image SegmentationDiffusion models → Medical imaging and segmentation
- Generator Assisted Mixture of Experts For Feature Acquisition in BatchMixture-of-experts → MoE theory and gating functions
- Lightning-Fast Image Inversion and Editing for Text-to-Image Diffusion ModelsDiffusion models → Image generation, text-to-image and editing
- InstructVideo: Instructing Video Diffusion Models with Human FeedbackDiffusion models → Video generation +1
- Adaptive Guidance: Training-free Acceleration of Conditional Diffusion ModelsDiffusion models → Diffusion foundations and sampling
- Atlantis: Enabling Underwater Depth Estimation with Stable DiffusionDiffusion models → Inverse problems and image restoration
- Distilling Autoregressive Models to Obtain High-Performance Non-Autoregressive Solvers for Vehicle Routing Problems with Faster Inference SpeedKnowledge distillation → Knowledge distillation for LLMs
- MaskINT: Video Editing via Interpolative Non-autoregressive Masked TransformersDiffusion models → Video generation
- A Challenger to GPT-4V? Early Explorations of Gemini in Visual ExpertiseMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- On Inference Stability for Diffusion ModelsDiffusion models → Diffusion foundations and sampling
- Efficient Title Reranker for Fast and Improved Knowledge-Intense NLPRetrieval-augmented generation → Generation and context integration
- SegRefiner: Towards Model-Agnostic Segmentation Refinement with Discrete Diffusion ProcessDiffusion models → Medical imaging and segmentation
- Jack of All Tasks, Master of Many: Designing General-purpose Coarse-to-Fine Vision-Language ModelMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- Prompting Hard or Hardly Prompting: Prompt Inversion for Text-to-Image Diffusion ModelsDiffusion models → Image generation, text-to-image and editing
- Mixture of Cluster-conditional LoRA Experts for Vision-language Instruction TuningMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning +1
- On the Effectiveness of Retrieval, Alignment, and Replay in ManipulationOffline RL and imitation learning from data → Robot manipulation imitation learning
- Bypassing the Safety Training of Open-Source LLMs with Priming AttacksLLM safety and security → Jailbreaking
- GeomVerse: A Systematic Evaluation of Large Models for Geometric ReasoningLLM reasoning → Spatial and embodied reasoning
- Brush Your Text: Synthesize Any Scene Text on Images via Diffusion ModelDiffusion models → Image generation, text-to-image and editing
- HuTuMotion: Human-Tuned Navigation of Latent Motion Diffusion Models with Minimal FeedbackDiffusion models → Video generation +1
- CUDC: A Curiosity-Driven Unsupervised Data Collection Method with Adaptive Temporal Distances for Offline Reinforcement LearningOffline RL and imitation learning from data → Offline RL algorithms
- Noise robust distillation of self-supervised speech models via correlation metricsKnowledge distillation → Speech and audio distillation
- M-BEV: Masked BEV Perception for Robust Autonomous DrivingEnd-to-end autonomous driving → VLMs for autonomous driving
- FontDiffuser: One-Shot Font Generation via Denoising Diffusion with Multi-Scale Content Aggregation and Style Contrastive LearningDiffusion models → Image generation, text-to-image and editing
- GazeMoDiff: Gaze-guided Diffusion Model for Stochastic Human Motion PredictionDiffusion models → Video generation
- Learning Subject-Aware Cropping by Outpainting Professional PhotosDiffusion models → Image generation, text-to-image and editing
- LHManip: A Dataset for Long-Horizon Language-Grounded Manipulation Tasks in Cluttered Tabletop EnvironmentsOffline RL and imitation learning from data → Robot manipulation imitation learning
- Towards Accurate Guided Diffusion Sampling through Symplectic Adjoint MethodDiffusion models → Diffusion foundations and sampling
- Active Preference Inference using Language Models and Probabilistic ReasoningLLM reasoning → Reinforcement learning for reasoning
- Optimizing Diffusion Noise Can Serve As Universal Motion PriorsDiffusion models → Video generation
- Large Language Models Empowered Agent-based Modeling and Simulation: A Survey and PerspectivesLLM agents and tool use → General LLM agent frameworks and benchmarks
- DMT: Comprehensive Distillation with Multiple Self-supervised TeachersKnowledge distillation → General knowledge distillation methods
- Parameterized Decision-making with Multi-modal Perception for Autonomous DrivingEnd-to-end autonomous driving → Reinforcement learning for driving
- ConsistentEE: A Consistent and Hardness-Guided Early Exiting Method for Accelerating Language Models InferenceEfficient LLM inference and serving → Early exit and edge inference
- Large Language Models Play StarCraft II: Benchmarks and A Chain of Summarization ApproachLLM agents and tool use → Reinforcement learning for LLM agents
- Neural Network Approximation for Pessimistic Offline Reinforcement LearningOffline RL and imitation learning from data → Offline RL algorithms
- An Adaptive Placement and Parallelism Framework for Accelerating RLHF TrainingLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
- Urban Generative Intelligence (UGI): A Foundational Platform for Agents in Embodied City EnvironmentLLM agents and tool use → Multimodal and embodied agents
- Text-Image Conditioned Diffusion for Consistent Text-to-3D GenerationDiffusion models → 3D, point cloud and scene generation
- Towards building a monitoring platform for a challenge-oriented smart specialisation with RIS3-MCAT
- Ethical Artificial Intelligence Principles and Guidelines for the Governance and Utilization of Highly Advanced Large Language Models
- A Beam-Segmenting Polar Format Algorithm Based on Double PCS for Video SAR Persistent Imaging
- Reasoning with random sets: An agenda for the future
- Automated Assessment of Students' Code Comprehension using LLMs
- GeoAI in Social Science
- Hyperspectral Lightcurve Inversion for Attitude Determination
- Loss it right: Euclidean and Riemannian Metrics in Learning-based Visual Odometry
- SRNI-CAR: A comprehensive dataset for analyzing the Chinese automotive market
- Iterative Regularization with k-support Norm: An Important Complement to Sparse Recovery
- AT-2FF: Adaptive Type-2 Fuzzy Filter for De-noising Images Corrupted with Salt-and-Pepper
- REE-HDSC: Recognizing Extracted Entities for the Historical Database Suriname Curacao
- Professional Network Matters: Connections Empower Person-Job Fit
- Faithful Model Evaluation for Model-Based Metrics
- The curious case of the test set AUROC
- Self-Admitted Technical Debt Detection Approaches: A Decade Systematic Review
- Enhancing Edge Intelligence with Highly Discriminant LNT Features
- Auto311: A Confidence-guided Automated System for Non-emergency Calls
- On Early Detection of Hallucinations in Factual Question Answering
- Dynamic Topic Language Model on Heterogeneous Children's Mental Health Clinical Notes
- Longitudinal prediction of DNA methylation to forecast epigenetic outcomes
- SimQ-NAS: Simultaneous Quantization Policy and Neural Architecture Search
- Compact 3D Scene Representation via Self-Organizing Gaussian Grids
- On the Role of Server Momentum in Federated Learning
- Convolutional Channel-wise Competitive Learning for the Forward-Forward Algorithm
- Discovering Malicious Signatures in Software from Structural Interactions
- Incremental Semi-supervised Federated Learning for Health Inference via Mobile Sensing
- UnionDet: Union-Level Detector Towards Real-Time Human-Object Interaction Detection
- Misalign, Contrast then Distill: Rethinking Misalignments in Language-Image Pretraining
- Is post-editing really faster than human translation?
- The Convex Landscape of Neural Networks: Characterizing Global Optima and Stationary Points via Lasso Models
- Can Transformers Learn Sequential Function Classes In Context?
- Diagnosis Of Takotsubo Syndrome By Robust Feature Selection From The Complex Latent Space Of DL-based Segmentation Network
- IS-DARTS: Stabilizing DARTS through Precise Measurement on Candidate Importance
- Rotational Augmented Noise2Inverse for Low-dose Computed Tomography Reconstruction
- Robust Point Matching with Distance Profiles
- RealCraft: Attention Control as A Tool for Zero-Shot Consistent Video Editing
- MotionScript: Natural Language Descriptions for Expressive 3D Human Motions
- Long-run Behaviour of Multi-fidelity Bayesian Optimisation
- Data-driven discovery with Limited Data Acquisition for fluid flow across cylinder
- Calibrating Wireless Ray Tracing for Digital Twinning using Local Phase Error Estimates
- Building a Llama2-finetuned LLM for Odia Language Utilizing Domain Knowledge Instruction Set
- Hierarchical Vision Transformers for Context-Aware Prostate Cancer Grading in Whole Slide Images
- Online Variational Sequential Monte Carlo
- Enhancing predictive capabilities in fusion burning plasmas through surrogate-based optimization in core transport solvers
- Rethinking Randomized Smoothing from the Perspective of Scalability
- Optimizing Neural Networks with Gradient Lexicase Selection
- An empirical study of testing machine learning in the wild
- Unsupervised Segmentation of Colonoscopy Images
- A Case Study on Test Case Construction with Large Language Models: Unveiling Practical Insights and Challenges
- Robust Machine Learning by Transforming and Augmenting Imperfect Training Data
- An Empirical study of Unsupervised Neural Machine Translation: analyzing NMT output, model's behavior and sentences' contribution
- BadRL: Sparse Targeted Backdoor Attack Against Reinforcement Learning
- Observation-Augmented Contextual Multi-Armed Bandits for Robotic Search and Exploration
- Improving the Expressive Power of Deep Neural Networks through Integral Activation Transform
- Scaling Opponent Shaping to High Dimensional Games
All 302
- Leading the Pack: N-player Opponent Shaping
- Comprehensive Validation on Reweighting Samples for Bias Mitigation via AIF360
- Sample Efficient Reinforcement Learning with Partial Dynamics Knowledge
- Rectangle Search: An Anytime Beam Search (Extended Version)
- Blood Glucose Level Prediction: A Graph-based Explainable Method with Federated Learning
- DDOS: The Drone Depth and Obstacle Segmentation Dataset
- StreamDiffusion: A Pipeline-level Solution for Real-time Interactive Generation
- H-ensemble: An Information Theoretic Approach to Reliable Few-Shot Multi-Source-Free Transfer
- Foreseeing Reconstruction Quality of Gradient Inversion: An Optimization Perspective
- Vision-Based Automatic Groceries Tracking System -- Smart Homes
- Learning Deterministic Surrogates for Robust Convex QCQPs
- SkyMask: Attack-agnostic Robust Federated Learning with Fine-grained Learnable Masks
- SCoTTi: Save Computation at Training Time with an adaptive framework
- New Horizons: Pioneering Pharmaceutical R&D with Generative AI from lab to the clinic -- an industry perspective
- Unveiling Spaces: Architecturally meaningful semantic descriptions from images of interior spaces
- Continual-MAE: Adaptive Distribution Masked Autoencoders for Continual Test-Time Adaptation
- Zero-shot Building Attribute Extraction from Large-Scale Vision and Language Models
- ProS: Prompting-to-simulate Generalized knowledge for Universal Cross-Domain Retrieval
- When Graph Neural Network Meets Causality: Opportunities, Methodologies and An Outlook
- DSAF: A Dual-Stage Adaptive Framework for Numerical Weather Prediction Downscaling
- Learning to Reweight for Graph Neural Network
- Principled Weight Initialisation for Input-Convex Neural Networks
- A Study on Social Robot Behavior in Group Conversation
- A Performance Evaluation of a Quantized Large Language Model on Various Smartphones
- Rotated Multi-Scale Interaction Network for Referring Remote Sensing Image Segmentation
- Learning Flexible Body Collision Dynamics with Hierarchical Contact Mesh Transformer
- Users Approach on Providing Feedback for Smart Home Devices
- Weakly Supervised Open-Vocabulary Object Detection
- TAO-Amodal: A Benchmark for Tracking Any Object Amodally
- The Endoscapes Dataset for Surgical Scene Segmentation, Object Detection, and Critical View of Safety Assessment: Official Splits and Benchmark
- Scene-Conditional 3D Object Stylization and Composition
- LASA: Instance Reconstruction from Real Scans using A Large-scale Aligned Shape Annotation Dataset
- Towards Automatic Support of Software Model Evolution with Large Language~Models
- On Alternating-Time Temporal Logic, Hyperproperties, and Strategy Sharing
- New Classes of the Greedy-Applicable Arm Feature Distributions in the Sparse Linear Bandit Problem
- Chasing Fairness in Graphs: A GNN Architecture Perspective
- SpokesBiz -- an Open Corpus of Conversational Polish
- Auditable Algorithms for Approximate Model Counting
- CLIP-DINOiser: Teaching CLIP a few DINO tricks for open-vocabulary semantic segmentation
- Modeling non-linear Effects with Neural Networks in Relational Event Models
- SMC-NCA: Semantic-guided Multi-level Contrast for Semi-supervised Temporal Action Segmentation
- LatestEval: Addressing Data Contamination in Language Model Evaluation through Dynamic and Time-Sensitive Test Construction
- Engineering an Exact Pseudo-Boolean Model Counter
- Scalable Geometric Fracture Assembly via Co-creation Space among Assemblers
- Value Explicit Pretraining for Learning Transferable Representations
- pixelSplat: 3D Gaussian Splats from Image Pairs for Scalable Generalizable 3D Reconstruction
- PowMix: A Versatile Regularizer for Multimodal Sentiment Analysis
- Topological complexity of spiked random polynomials and finite-rank spherical integrals
- An Alternate View on Optimal Filtering in an RKHS
- Celestial Machine Learning: Discovering the Planarity, Heliocentricity, and Orbital Equation of Mars with AI Feynman
- First qualitative observations on deep learning vision model YOLO and DETR for automated driving in Austria
- Instruct-SCTG: Guiding Sequential Controlled Text Generation through Instructions
- Toward enriched Cognitive Learning with XAI
- POND: Multi-Source Time Series Domain Adaptation with Information-Aware Prompt Tuning
- Emergence of In-Context Reinforcement Learning from Noise Distillation
- Intrinsic Image Diffusion for Indoor Single-view Material Estimation
- VQA4CIR: Boosting Composed Image Retrieval with Visual Question Answering
- Automated speech audiometry: Can it work using open-source pre-trained Kaldi-NL automatic speech recognition?
- FedDiv: Collaborative Noise Filtering for Federated Learning with Noisy Labels
- Inferring the relationship between soil temperature and the normalized difference vegetation index with machine learning
- A Dual Curriculum Learning Framework for Multi-UAV Pursuit-Evasion in Diverse Environments
- Geo-located Aspect Based Sentiment Analysis (ABSA) for Crowdsourced Evaluation of Urban Environments
- ST(OR)2: Spatio-Temporal Object Level Reasoning for Activity Recognition in the Operating Room
- MDD-UNet: Domain Adaptation for Medical Image Segmentation with Theoretical Guarantees, a Proof of Concept
- Roll With the Punches: Expansion and Shrinkage of Soft Label Selection for Semi-supervised Fine-Grained Learning
- Generalization Analysis of Machine Learning Algorithms via the Worst-Case Data-Generating Probability Measure
- It's All in the Mix: Wasserstein Classification and Regression with Mixed Features
- On the Parameterization of Second-Order Optimization Effective Towards the Infinite Width
- Self-Supervised Detection of Perfect and Partial Input-Dependent Symmetries
- EarthVQA: Towards Queryable Earth via Relational Reasoning-Based Remote Sensing Visual Question Answering
- Sharing is CAIRing: Characterizing Principles and Assessing Properties of Universal Privacy Evaluation for Synthetic Tabular Data
- Identification of Causal Structure in the Presence of Missing Data with Additive Noise Model
- Mask Grounding for Referring Image Segmentation
- Gaussian process learning of nonlinear dynamics
- Decentralised and collaborative machine learning framework for IoT
- Teeth Localization and Lesion Segmentation in CBCT Images using SpatialConfiguration-Net and U-Net
- Poincar'e Differential Privacy for Hierarchy-Aware Graph Embedding
- StyleSpeech: Self-supervised Style Enhancing with VQ-VAE-based Pre-training for Expressive Audiobook Speech Synthesis
- All for One, and One for All: UrbanSyn Dataset, the third Musketeer of Synthetic Driving Scenes
- Towards an in-depth detection of malware using distributed QCNN
- Towards Balanced Alignment: Modal-Enhanced Semantic Modeling for Video Moment Retrieval
- SoftCTM: Cell detection by soft instance segmentation and consideration of cell-tissue interaction
- Parameter-Efficient Fine-Tuning Methods for Pretrained Language Models: A Critical Review and Assessment
- OVD-Explorer: Optimism Should Not Be the Sole Pursuit of Exploration in Noisy Environments
- Integrating Human Vision Perception in Vision Transformers for Classifying Waste Items
- Neuron-Level Knowledge Attribution in Large Language Models
- Best Arm Identification with Fixed Budget: A Large Deviation Perspective
- Object Detection for Automated Coronary Artery Using Deep Learning
- Object-Aware Domain Generalization for Object Detection
- Probabilistic Prediction of Longitudinal Trajectory Considering Driving Heterogeneity with Interpretability
- ZS-SRT: An Efficient Zero-Shot Super-Resolution Training Method for Neural Radiance Fields
- Mindful Explanations: Prevalence and Impact of Mind Attribution in XAI Research
- Shaping Up SHAP: Enhancing Stability through Layer-Wise Neighbor Selection
- Variational Mode Decomposition-Based Nonstationary Coherent Structure Analysis for Spatiotemporal Data
- Curated LLM: Synergy of LLMs and Data Curation for tabular augmentation in low-data regimes
- Knowledge Graph Error Detection with Contrastive Confidence Adaption
- I-CEE: Tailoring Explanations of Image Classification Models to User Expertise
- VITA: 'Carefully Chosen and Weighted Less' Is Better in Medication Recommendation
- Rethinking LiDAR Domain Generalization: Single Source as Multiple Density Domains
- DLCA-Recon: Dynamic Loose Clothing Avatar Reconstruction from Monocular Videos
- PICNN: A Pathway towards Interpretable Convolutional Neural Networks
- Optimistic Policy Gradient in Multi-Player Markov Games with a Single Controller: Convergence Beyond the Minty Property
- PPO-Clip Attains Global Optimality: Towards Deeper Understandings of Clipping
- MPI Planar Correction of Pulse Based ToF Cameras
- Resource-efficient Generative Mobile Edge Networks in 6G Era: Fundamentals, Framework and Case Study
- Extension of the Dip-test Repertoire -- Efficient and Differentiable p-value Calculation for Clustering
- EncryIP: A Practical Encryption-Based Framework for Model Intellectual Property Protection
- XLand-MiniGrid: Scalable Meta-Reinforcement Learning Environments in JAX
- Pose2Gaze: Eye-body Coordination during Daily Activities for Gaze Prediction from Full-body Poses
- Founder-GPT: Self-play to evaluate the Founder-Idea fit
- EyePreserve: Identity-Preserving Iris Synthesis
- Progressive Frequency-Aware Network for Laparoscopic Image Desmoking
- LightGCNet: A Lightweight Geometric Constructive Neural Network for Data-Driven Soft sensors
- Synergistic Anchored Contrastive Pre-training for Few-Shot Relation Extraction
- Outlier detection using flexible categorisation and interrogative agendas
- Can ChatGPT be Your Personal Medical Assistant?
- Modelling and characterization of fine Particulate Matter dynamics in Bujumbura using low cost sensors
- Diffusing More Objects for Semi-Supervised Domain Adaptation with Less Labeling
- Coreference Graph Guidance for Mind-Map Generation
- Xpert: Empowering Incident Management with Query Recommendations via Large Language Models
- Climate Change from Large Language Models
- Fluctuation-based Adaptive Structured Pruning for Large Language Models
- When Model Meets New Normals: Test-time Adaptation for Unsupervised Time-series Anomaly Detection
- Continual Learning: Forget-free Winning Subnetworks for Video Representations
- Expressive Forecasting of 3D Whole-body Human Motions
- GroupMixNorm Layer for Learning Fair Models
- Context Disentangling and Prototype Inheriting for Robust Visual Grounding
- Vertical Symbolic Regression
- Adversarial AutoMixup
- Automatic Parameter Selection for Non-Redundant Clustering
- Leveraging the Urysohn Lemma of Topology for an Enhanced Binary Classifier
- Emotion Rendering for Conversational Speech Synthesis with Heterogeneous Graph-Based Context Modeling
- Multi-Granularity Information Interaction Framework for Incomplete Utterance Rewriting
- Stability of Multi-Agent Learning in Competitive Networks: Delaying the Onset of Chaos
- Skills or Degree? The Rise of Skill-Based Hiring for AI and Green Jobs
- Time-Series Contrastive Learning against False Negatives and Class Imbalance
- Exact ASP Counting with Compact Encodings
- Identification of Causal Structure with Latent Variables Based on Higher Order Cumulants
- Dynamic Frequency Domain Graph Convolutional Network for Traffic Forecasting
- Transformer Network for Multi-Person Tracking and Re-Identification in Unconstrained Environment
- Empowering Dual-Level Graph Self-Supervised Pretraining with Motif Discovery
- Big Learning Expectation Maximization
- IPAD: Iterative, Parallel, and Diffusion-based Network for Scene Text Recognition
- Relation-Aware Question Answering for Heterogeneous Knowledge Graphs
- External Knowledge Augmented Polyphone Disambiguation Using Large Language Model
- A Case Study in CUDA Kernel Fusion: Implementing FlashAttention-2 on NVIDIA Hopper Architecture using the CUTLASS Library
- EVI-SAM: Robust, Real-time, Tightly-coupled Event-Visual-Inertial State Estimation and 3D Dense Mapping
- Convergence Visualizer of Decentralized Federated Distillation with Reduced Communication Costs
- Sign Language Conversation Interpretation Using Wearable Sensors and Machine Learning
- Short-Term Multi-Horizon Line Loss Rate Forecasting of a Distribution Network Using Attention-GCN-LSTM
- Text-Conditioned Resampler For Long Form Video Understanding
- Analyzing Public Reactions, Perceptions, and Attitudes during the MPox Outbreak: Findings from Topic Modeling of Tweets
- 3D-LFM: Lifting Foundation Model
- Hierarchical and Incremental Structural Entropy Minimization for Unsupervised Social Event Detection
- Difficulty-Focused Contrastive Learning for Knowledge Tracing with a Large Language Model-Based Difficulty Prediction
- Predicting Line-Level Defects by Capturing Code Contexts with Hierarchical Transformers
- Punctuation restoration Model and Spacing Model for Korean Ancient Document
- Point Cloud Segmentation Using Transfer Learning with RandLA-Net: A Case Study on Urban Areas
- Sparse is Enough in Fine-tuning Pre-trained Large Language Models
- Beyond Prototypes: Semantic Anchor Regularization for Better Representation Learning
- A Revisit of Fake News Dataset with Augmented Fact-checking by ChatGPT
- Point Cloud Part Editing: Segmentation, Generation, Assembly, and Selection
- Topo-MLP : A Simplicial Network Without Message Passing
- A Proximal Gradient Method With Probabilistic Multi-Gossip Communications for Decentralized Composite Optimization
- SimCalib: Graph Neural Network Calibration based on Similarity between Nodes
- Self-supervised Learning for Enhancing Geometrical Modeling in 3D-Aware Generative Adversarial Network
- Predicting Human Translation Difficulty with Neural Machine Translation
- GCNext: Towards the Unity of Graph Convolutions for Human Motion Prediction
- Active contours driven by local and global intensity fitting energy with application to SAR image segmentation and its fast solvers
- Initializing Services in Interactive ML Systems for Diverse Users
- MixRT: Mixed Neural Representations For Real-Time NeRF Rendering
- Regulating Intermediate 3D Features for Vision-Centric Autonomous Driving
- YOCO: A Hybrid In-Memory Computing Architecture with 8-bit Sub-PetaOps/W In-Situ Multiply Arithmetic for Large-Scale AI
- Provably Convergent Federated Trilevel Learning
- Multi-agent reinforcement learning using echo-state network and its application to pedestrian dynamics
- The Validity of a Machine Learning-Based Video Game in the Objective Screening of Attention Deficit Hyperactivity Disorder in Children Aged 5 to 12 Years
- Locally-Minimal Probabilistic Explanations
- RadOcc: Learning Cross-Modality Occupancy Knowledge through Rendering Assisted Distillation
- TESS: A Multi-intent Parser for Conversational Multi-Agent Systems with Decentralized Natural Language Understanding Models
- Decoupled Textual Embeddings for Customized Image Generation
- Classification of complex local environments in systems of particle shapes through shape-symmetry encoded data augmentation
- Root Cause Explanation of Outliers under Noisy Mechanisms
- A Dual-way Enhanced Framework from Text Matching Point of View for Multimodal Entity Linking
- Advancements and Challenges in Arabic Optical Character Recognition: A Comprehensive Survey
- Gemini: A Family of Highly Capable Multimodal Models
- NLP for Maternal Healthcare: Perspectives and Guiding Principles in the Age of LLMs
- Fast, Scalable, Warm-Start Semidefinite Programming with Spectral Bundling and Sketching
- Data-Driven Merton's Strategies via Policy Randomization
- MELO: Enhancing Model Editing with Neuron-Indexed Dynamic LoRA
- An Effective Image Copy-Move Forgery Detection Using Entropy Information
- COOPER: Coordinating Specialized Agents towards a Complex Dialogue Goal
- Faster Convergence with Multiway Preferences
- Zero-Shot Fact-Checking with Semantic Triples and Knowledge Graphs
- Learning Object State Changes in Videos: An Open-World Perspective
- Tokenization Matters: Navigating Data-Scarce Tokenization for Gender Inclusive Language Technologies
- Towards SAMBA: Segment Anything Model for Brain Tumor Segmentation in Sub-Sharan African Populations
- CAManim: Animating end-to-end network activation maps
- Bridging the Gap: Generalising State-of-the-Art U-Net Models to Sub-Saharan African Populations
- Clustering Mixtures of Bounded Covariance Distributions Under Optimal Separation
- Curriculum Learning for Cooperation in Multi-Agent Reinforcement Learning
- ADMM-MM Algorithm for General Tensor Decomposition
- MineObserver 2.0: A Deep Learning & In-Game Framework for Assessing Natural Language Descriptions of Minecraft Imagery