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conftrace_

state-of-the-art performance

38 papers

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Also known as

SOTA

Co-occurring keywords · papers mentioning both

graph neural network (2) neural network (2) few-shot learning (2) text perturbation (1) zero-shot reasoning (1) embedding model (1) process reward model (1) iterative reasoning (1) biomedical relation extraction (1) self-supervised training (1)

Papers

Boosting Resolution Generalization of Diffusion Transformers with Randomized Positional Encodings AAAI 2026 Hymavi : A Hybrid Mamba-Attention Network in Multi-View Framework for Volumetric Medical Image Segmentation WACV 2026 Ax: A Platform for Adaptive Experimentation AutoML 2025 Controlled Generation with Equivariant Variational Flow Matching ICML 2025 EpiCoder: Encompassing Diversity and Complexity in Code Generation ICML 2025 Feedforward Few-shot Species Range Estimation ICML 2025 Few-Shot Learner Generalizes Across AI-Generated Image Detection ICML 2025 Harnessing Heterogeneous Statistical Strength for Personalized Federated Learning via Hierarchical Bayesian Inference ICML 2025 Large Language and Protein Assistant for Protein-Protein Interactions Prediction ACL 2025 LGDM: Latent Guidance in Diffusion Models for Perceptual Evaluations ICML 2025 MAP: Unleashing Hybrid Mamba-Transformer Vision Backbone's Potential with Masked Autoregressive Pretraining CVPR 2025 OmiAD: One-Step Adaptive Masked Diffusion Model for Multi-class Anomaly Detection via Adversarial Distillation ICML 2025 Quadruple Attention in Many-body Systems for Accurate Molecular Property Predictions ICML 2025 Search-in-Context: Efficient Multi-Hop QA over Long Contexts via Monte Carlo Tree Search with Dynamic KV Retrieval ACL 2025 Stochastic Deep Restoration Priors for Imaging Inverse Problems ICML 2025 Supervised Contrastive Learning from Weakly-Labeled Audio Segments for Musical Version Matching ICML 2025 Agent Instructs Large Language Models to be General Zero-Shot Reasoners ICML 2024 Cell-DETR: Efficient cell detection and classification in WSIs with transformers MIDL 2024 Diffusion Rejection Sampling ICML 2024 Efficient and Scalable Graph Generation through Iterative Local Expansion ICLR 2024 EvoRainbow: Combining Improvements in Evolutionary Reinforcement Learning for Policy Search ICML 2024 Generalizing Knowledge Graph Embedding with Universal Orthogonal Parameterization ICML 2024 HyCoRec: Hypergraph-Enhanced Multi-Preference Learning for Alleviating Matthew Effect in Conversational Recommendation ACL 2024 Improving Neural Biasing for Contextual Speech Recognition by Early Context Injection and Text Perturbation Interspeech 2024 Infinite-Dimensional Feature Interaction NeurIPS 2024