conftrace_

Application Areas

34,437 papers (4 classified directly here)

Subtopics · a paper can sit in several, so these overlap

Domain Adaptation (9,897) Efficient Computing (8,226) Data Augmentation (3,648) Fairness (3,574) Knowledge Distillation (3,219) Privacy (3,022) Domain Generalization (1,972) Model Compression (1,736) Risk Management (1,119) Model Merging (592) Recommender Systems (343) Information Retrieval (249) Text Classification (144) Text Processing (2)

Papers per year

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330

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1,828

2,498

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6,422

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1,666

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Papers (including subtopics)

Selective Focus: Investigating Semantics Sensitivity in Post-training Quantization for Lane Detection AAAI 2024 Selective Mixup Fine-Tuning for Optimizing Non-Decomposable Objectives ICLR 2024 Selective Mixup Helps with Distribution Shifts, But Not (Only) because of Mixup ICML 2024 Selective Perception: Learning Concise State Descriptions for Language Model Actors NAACL 2024 Selective Prefix Tuning for Pre-trained Language Models ACL 2024 Selective Reflection-Tuning: Student-Selected Data Recycling for LLM Instruction-Tuning ACL 2024 Self-Calibrated Tuning of Vision-Language Models for Out-of-Distribution Detection NeurIPS 2024 Self-Calibrating Vicinal Risk Minimisation for Model Calibration CVPR 2024 SelfCodeAlign: Self-Alignment for Code Generation NeurIPS 2024 Self-cognitive Denoising in the Presence of Multiple Noisy Label Sources ICML 2024 Self-Distillation Bridges Distribution Gap in Language Model Fine-Tuning ACL 2024 Self-Distillation Regularized Connectionist Temporal Classification Loss for Text Recognition: A Simple Yet Effective Approach AAAI 2024 SELF-EXPERTISE: Knowledge-based Instruction Dataset Augmentation for a Legal Expert Language Model NAACL 2024 Self-Knowledge Distillation for Knowledge Graph Embedding COLING 2024 Self-Powered LLM Modality Expansion for Large Speech-Text Models EMNLP 2024 Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection ICLR 2024 Self-Regulated Data-Free Knowledge Amalgamation for Text Classification NAACL 2024 Self-Supervised Adversarial Training via Diverse Augmented Queries and Self-Supervised Double Perturbation NeurIPS 2024 Self-supervised Debiasing Using Low Rank Regularization CVPR 2024 Self-Supervised Learning for ASR Pre-Training with Uniquely Determined Target Labels and Controlling Cepstrum Truncation for Speech Augmentation Interspeech 2024 Self-Supervised Learning for Place Representation Generalization Across Appearance Changes WACV 2024 Self-Supervised Learning with Multi-Head Multi-Mode Knowledge Distillation for Speaker Verification Interspeech 2024 Self-Supervised Monocular Depth Estimation in the Dark: Towards Data Distribution Compensation IJCAI 2024 Self-Supervised Position Debiasing for Large Language Models ACL 2024 Self-Supervised Quantization-Aware Knowledge Distillation AISTATS 2024