Channel Avatar

μ„œμšΈλŒ€ν•™κ΅ 산업곡학과 DSBA 연ꡬ싀 @UCPq01cgCcEwhXl7BvcwIQyg@youtube.com

18K subscribers - no pronouns :c

μ„œμšΈλŒ€ν•™κ΅ 산업곡학과 DSBA(Data Science & Business Analytics) μ—°κ΅¬μ‹€μž…λ‹ˆλ‹€.


38:55
[Paper Review] Can Large Language Model Agents Simulate Human Trust Behavior?
37:29
[Paper Review] SimLM: Pre-training with Representation Bottleneck for Dense Passage Retrieval
01:07:03
[Paper Review] KAN: Kolmogorov-Arnold Networks
45:20
[Paper Review] VCP-CLIP: A visual context prompting model for zero-shot anomaly segmentation
40:57
[Paper Review] Periodicity Decoupling Framework for Long-term Series Forecasting
34:18
[Paper Review] One-stage Prompt-based Continual Learning
37:56
[Paper Review] Continuous Memory Representation for Anomaly Detection
51:18
[Paper Review] A-LLMRec
41:36
[Paper Review] ReFormer: The Relational Transformer for Image Captioning
41:08
[Paper Review] RealNet: A Feature Selection Network with Realistic Synthetic Anomaly for AD
56:20
[Paper Review] TIME-MOE: BILLION-SCALE TIME SERIES FOUNDATION MODELS WITH MIXTURE OF EXPERTS
28:29
[Paper Review] VISION TRANSFORMERS NEED REGISTERS
43:22
[Paper Review] VQ-Flow: Taming Normalizing Flows for Multi-Class Anomaly Detection
35:54
[Paper Review] Chain-of-Thought Prompting in ACL 2024
36:36
[Paper Review] Recommender Systems with Generative Retrieval
41:21
[Paper Review] SensitiveHUE: MTSAD by Enhancing the Sensitivity to Normal Patterns
37:34
[Paper Review] Gecko: Versatile Text Embeddings Distilled from Large Language Models
31:04
[Paper Review] Cumulative Reasoning with Large Language Models
36:13
Transformer-based Multivariate TimeSeries Anomaly Detection using Inter-Variable Attention Mechanism
44:41
[Paper Review] AdaCLIP: Adapting CLIP with Hybrid Learnable Prompts for Zero-Shot Anomaly Detection
29:16
[Paper Review] Affective-NLI: Towards Accurate Interpretable Personality Recognition in Conversation
47:09
[Paper Review] Less is More:Pre-train a Strong Text Encoder for Dense Retrieval Using a Weak Decoder
49:15
[Paper Review] Koopman Neural Operator Forecaster for Time-series with Temporal Distribution Shifts
29:01
[Paper Review] CLIP3D-AD: Extending CLIP for 3D Few Shot Anomaly Detection
37:40
[Paper Review] Revisiting Active Learning in the Era of Vision Foundation Models
34:02
[Paper Review] Introducing Language Guidance in Prompt-based Continual Learning
16:02
[Paper Review] Caption Re-ranking Evaluation Using Ensembled CLIP and Consensus Scores
36:06
[Paper Review] How Abilities in Large Language Models are Affected by SFT Data Composition
01:00:04
[Paper Review] Tell Me More! Towards Implicit User Intention Understanding of Language Model Agent
29:12
[Paper Review] GLAD
33:36
[Paper Review] The Era of 1-bit LLMs: All Large Language Models are in 1.58 Bits
36:40
[Paper Review] AnomalyCLIP: Object-agnostic Prompt Learning for Zero-shot Anomaly Detection
27:40
[Paper Review] ORPO: Monolithic Preference Optimization without Reference Model
22:22
[Paper Review] Contrastive Vision-Language Pre-training with Limited Resources
29:49
[Paper Review]CoLLM: Integrating Collaborative Embeddings into LLMs for Recommendation
34:03
[Paper Review] MeaCap: Memory-Augmented Zero-shot Image Captioning
17:11
[Paper Review] FT-LLM: 좕ꡬ μ‚°μ—…μ˜ 데이터 뢄석 지원을 μœ„ν•œRetrieval 증강 생성 기반의 μ–Έμ–΄ λͺ¨λΈ ν”„λ ˆμž„μ›Œν¬ 개발
25:14
[Paper Review] CHAMP: A Competition Dataset for Fine-Grained Analyses of LLMs' Math Reasoning
36:54
[Paper Review] LogFormer: A Pre-train and Tuning Pipeline for Log Anomaly Detection
59:36
[Paper Review] FlashAttention: Fast and Memory-Efficient Exact Attention with IO-Awareness
30:34
[Paper Review] DisCo-CLIP: A Distributed Contrastive Loss for Memory Efficient CLIP Training
49:08
[Paper Review] Frequency-domain MLPs are More Effective Learners in Time Series Forecasting
34:34
[Paper review] Unsupervised Continual Anomaly Detection with Contrastively-learned Prompt
45:23
[Paper Review] Shape-Guided Dual-Memory Learning for 3D Anomaly Detection
43:30
[Paper Review] Self supervised Feature Adaptation for 3D Industrial Anomaly Detection
41:12
[Paper Review]LLaRA:Large Language Recommendation Assistant
47:11
[Paper Review] SelectAL
53:58
[Paper Review] EXPLAINABLE TIME SERIES ANOMALY DETECTION USING MASKED LATENT GENERATIVE MODELING
46:15
[Paper Review] REVEAL: Retrieval-Augmented Visual-Language Pre-Training with Knowledge Memory
43:09
[Paper Review] Interpreting CLIP's Image Representation via Text-Based Decomposition
25:09
[Paper Review] VCR-GRAPHORMER: A MINI-BATCH GRAPH TRANSFORMERVIA VIRTUAL CONNECTIONS
28:20
[Paper Review] Goal-Driven Explainable Clustering via Language Descriptions
37:49
[Paper Review] Scaling Data-Constrained Language Models
46:30
[Paper Review] From Similarity to Superiority: Channel Clustering for Time Series Forecasting
18:45
[Paper Review] Proxy-based Item Representation for Attribute and Context-aware Recommendation
30:29
[Paper Review] EVCap: Retrieval-Augmented Image Captioning with External Visual-Name Memory
28:39
[Paper Review]Alpha-CLIP: A CLIP Model Focusing on Wherever You Want
31:11
[Paper Review] iTransformer: Inverted Transformers Are Effective for Time Series Forecasting
28:31
[Paper Review]Generate rather than Retrieve: Large Language Models are Strong Context Generators
27:19
[Paper Review] ToolLLM: Facilitating Large Language Models to Master 16000+ Real-world APIs